subject:(information retrieval)

University of Georgia

1. Bhattacharya, Nilayan. Real time evaluation of quality of search terms during query expansion for streaming text data using velocity and relevance.

Degree: MS, Computer Science, 2014, University of Georgia

URL: http://purl.galileo.usg.edu/uga_etd/bhattacharya_nilayan_201412_ms

► The traditional methods of evaluation of retrieved data using precision and recall cannot be used to evaluate the quality of twitter data retrieved using the… (more)

Subjects/Keywords: Information Retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bhattacharya, N. (2014). Real time evaluation of quality of search terms during query expansion for streaming text data using velocity and relevance. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/bhattacharya_nilayan_201412_ms

Chicago Manual of Style (16^th Edition):

Bhattacharya, Nilayan. “Real time evaluation of quality of search terms during query expansion for streaming text data using velocity and relevance.” 2014. Masters Thesis, University of Georgia. Accessed February 24, 2020. http://purl.galileo.usg.edu/uga_etd/bhattacharya_nilayan_201412_ms.

MLA Handbook (7^th Edition):

Bhattacharya, Nilayan. “Real time evaluation of quality of search terms during query expansion for streaming text data using velocity and relevance.” 2014. Web. 24 Feb 2020.

Vancouver:

Bhattacharya N. Real time evaluation of quality of search terms during query expansion for streaming text data using velocity and relevance. [Internet] [Masters thesis]. University of Georgia; 2014. [cited 2020 Feb 24]. Available from: http://purl.galileo.usg.edu/uga_etd/bhattacharya_nilayan_201412_ms.

Council of Science Editors:

Bhattacharya N. Real time evaluation of quality of search terms during query expansion for streaming text data using velocity and relevance. [Masters Thesis]. University of Georgia; 2014. Available from: http://purl.galileo.usg.edu/uga_etd/bhattacharya_nilayan_201412_ms

2. Tan, Luchen. Tracking Events in Social Media.

Degree: 2017, University of Waterloo

URL: http://hdl.handle.net/10012/11224

► Tracking topical events in social media streams, such as Twitter, provides a means for users to keep up-to-date on topics of interest to them. This… (more)

▼ Tracking topical events in social media streams, such as Twitter, provides a means for users to keep up-to-date on topics of interest to them. This tracking may last a period of days, or even weeks. These events and topics might be provided by users explicitly, or generated for users from selected news articles. Push notification from social media provides a method to push the updates directly to the users on their mobile devices or desktops. In this thesis, we start with a lexical comparison between carefully edited prose and social media posts, providing an improved understanding of word usage within social media. Compared with carefully edited prose, such as news articles and Wikipedia articles, the language of social media is informal in the extreme. By using word embeddings, we identify words whose usage differs greatly between a Wikipedia corpus and a Twitter corpus. Following from this work, we explore a general method for developing succinct queries, reflecting the topic of a given news article, for the purpose of tracking the associated news event within a social media stream. A series of probe queries are generated from an initial set of candidate keywords extracted from the article. By analyzing the results of these probes, we rank and trim the candidate set to create a succinct query. The method can also be used for linking and searching among different collections. Given a query for topical events, push notification to users directly from social media streams provides a method for them to keep up-to-date on topics of personal interest. We determine that the key to effective notification lies in controlling of update volume, by establishing and maintaining appropriate thresholds for pushing updates. We explore and evaluate multiple threshold setting strategies. Push notifications should be relevant to the personal interest, and timely, with pushes occurring as soon as after the actual event occurrence as possible and novel for providing non-duplicate information. An analysis of existing evaluation metrics for push notification reflects different assumptions regarding user requirements. This analysis leads to a framework that places different weights and penalties on different behaviours and can guide the future development of a family of evaluation metrics that more accurately models user needs. Throughout the thesis, rank similarity measures are applied to compare rankings generated by various experiments. As a final component, we develop a family of rank similarity metrics based on maximized effectiveness difference, each derived from a traditional information retrieval evaluation measure. Computing this maximized effectiveness difference (MED) requires the solution of an optimization problem that varies in difficulty, depending on the associated measure. We present solutions for several standard effectiveness measures, including nDCG, MAP, and ERR. Through experimental validation, we show that MED reveals meaningful differences between retrieval runs. Mathematically, MED is a…

Subjects/Keywords: Information Retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Tan, L. (2017). Tracking Events in Social Media. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/11224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Tan, Luchen. “Tracking Events in Social Media.” 2017. Thesis, University of Waterloo. Accessed February 24, 2020. http://hdl.handle.net/10012/11224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Tan, Luchen. “Tracking Events in Social Media.” 2017. Web. 24 Feb 2020.

Vancouver:

Tan L. Tracking Events in Social Media. [Internet] [Thesis]. University of Waterloo; 2017. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10012/11224.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tan L. Tracking Events in Social Media. [Thesis]. University of Waterloo; 2017. Available from: http://hdl.handle.net/10012/11224

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

3. Itakura, Kalista Yuki. Focused Retrieval.

Degree: 2010, University of Waterloo

URL: http://hdl.handle.net/10012/5645

► Traditional information retrieval applications, such as Web search, return atomic units of retrieval, which are generically called ``documents''. Depending on the application, a document may… (more)

Subjects/Keywords: Information Retrieval

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APA (6^th Edition):

Itakura, K. Y. (2010). Focused Retrieval. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5645

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Itakura, Kalista Yuki. “Focused Retrieval.” 2010. Thesis, University of Waterloo. Accessed February 24, 2020. http://hdl.handle.net/10012/5645.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Itakura, Kalista Yuki. “Focused Retrieval.” 2010. Web. 24 Feb 2020.

Vancouver:

Itakura KY. Focused Retrieval. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10012/5645.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Itakura KY. Focused Retrieval. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5645

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Waterloo

4. Patel, Hiren. Inverted Index Partitioning Strategies for a Distributed Search Engine.

Degree: 2010, University of Waterloo

URL: http://hdl.handle.net/10012/5683

► One of the greatest challenges in information retrieval is to develop an intelligent system for user and machine interaction that supports users in their quest… (more)

▼ One of the greatest challenges in information retrieval is to develop an intelligent system for user and machine interaction that supports users in their quest for relevant information. The dramatic increase in the amount of Web content gives rise to the need for a large-scale distributed information retrieval system, targeted to support millions of users and terabytes of data. To retrieve information from such a large amount of data in an efficient manner, the index is split among the servers in a distributed information retrieval system. Thus, partitioning the index among these collaborating nodes plays an important role in enhancing the performance of a distributed search engine. The two widely known inverted index partitioning schemes for a distributed information retrieval system are document partitioning and term partitioning. %In a document partitioned system, each of the server hosts a subset of the documents in the collection, and execute every query against its local sub-collection. In a term partitioned index, each node is responsible for a subset of the terms in the collection, and serves them to a central node as they are required for query evaluation. In this thesis, we introduce the Document over Term inverted index distribution scheme, which splits a set of nodes into several groups (sub-clusters) and then performs document partitioning between the groups and term partitioning within the group. As this approach is based on the term and document index partitioning approaches, we also refer it as a Hybrid Inverted Index. This approach retains the disk access benefits of term partitioning and the benefits of sharing computational load, scalability, maintainability, and availability of the document partitioning. We also introduce the Document over Document index partitioning scheme, based on the document partitioning approach. In this approach, a set of nodes is split into groups and documents in the collection are partitioned between groups and also within each group. This strategy retains all the benefits of the document partitioning approach, but reduces the computational load more effectively and uses resources more efficiently. We compare distributed index approaches experimentally and show that in terms of efficiency and scalability, document partition based approaches perform significantly better than the others. The Document over Term partitioning offers efficient utilization of search-servers and lowers disk access, but suffers from the problem of load imbalance. The Document over Document partitioning emerged to be the preferred method during high workload.

Subjects/Keywords: Information Retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Patel, H. (2010). Inverted Index Partitioning Strategies for a Distributed Search Engine. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5683

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Patel, Hiren. “Inverted Index Partitioning Strategies for a Distributed Search Engine.” 2010. Thesis, University of Waterloo. Accessed February 24, 2020. http://hdl.handle.net/10012/5683.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Patel, Hiren. “Inverted Index Partitioning Strategies for a Distributed Search Engine.” 2010. Web. 24 Feb 2020.

Vancouver:

Patel H. Inverted Index Partitioning Strategies for a Distributed Search Engine. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10012/5683.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patel H. Inverted Index Partitioning Strategies for a Distributed Search Engine. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5683

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rutgers University

5. Cole, Michael John, 1954-. Representing the search session process.

Degree: PhD, Communication, Information and Library Studies, 2016, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/49162/

►

Information search is a cognitive process by which users work to satisfy an information need or solve a problem. Information system performance could be improved… (more)

▼

Information search is a cognitive process by which users work to satisfy an information need or solve a problem. Information system performance could be improved if it had a grounded belief about the user and their goal. To accomplish this, a system needs to recognize and predict user states and aspects of their task, including search intentions. High fidelity representation of user mental states during search would best capture the user situation and presumably allow for better calculation of actions to take to help the user achieve their task goal more quickly and/or with higher quality outcomes. While there is research to infer user search context based on their activity with system, such as page use and query submissions, there has been little work to model user search session actions from a cognitive perspective. The dissertation addresses the development of a framework and methodology to represent some aspects of user information processing states in the information search process by exploiting eye movement patterns in the reading information acquisition process. This work is situated within a user-centered and cognitive model of the entire information seeking session. Information processing states were learned for participants in a user study where tasks were varied by complexity and other factors likely to influence search strategy and tactics. The learned information processing states were examined as patterns of user search actions to investigate whether task differences could be distinguished. In principle, such a model could help to ground system inferences and predictions about the current search state of the user and some aspects of their task goal, i.e. what they are trying to accomplish. The results show tasks can be distinguished using information processing state patterns. The results are discussed and potential for application in personalization and making simulated users considered. Limitations and directions for research are identified.

Advisors/Committee Members: Belkin, Nicholas J. (chair), Wacholder, Nina (internal member), Gwizdka, Jacek (outside member), Stone, Matthew (outside member).

Subjects/Keywords: Information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Cole, Michael John, 1. (2016). Representing the search session process. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/49162/

Chicago Manual of Style (16^th Edition):

Cole, Michael John, 1954-. “Representing the search session process.” 2016. Doctoral Dissertation, Rutgers University. Accessed February 24, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/49162/.

MLA Handbook (7^th Edition):

Cole, Michael John, 1954-. “Representing the search session process.” 2016. Web. 24 Feb 2020.

Vancouver:

Cole, Michael John 1. Representing the search session process. [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Feb 24]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49162/.

Council of Science Editors:

Cole, Michael John 1. Representing the search session process. [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/49162/

Universitat Politècnica de València

6. Buscaldi, Davide. Toponym Disambiguation in Information Retrieval .

Degree: 2010, Universitat Politècnica de València

URL: http://hdl.handle.net/10251/8912

► In recent years, geography has acquired a great importance in the context of Information Retrieval (IR) and, in general, of the automated processing of information… (more)

▼ In recent years, geography has acquired a great importance in the context of Information Retrieval (IR) and, in general, of the automated processing of information in text. Mobile devices that are able to surf the web and at the same time inform about their position are now a common reality, together with applications that can exploit this data to provide users with locally customised information, such as directions or advertisements. Therefore, it is important to deal properly with the geographic information that is included in electronic texts. The majority of such kind of information is contained as place names, or toponyms. Toponym ambiguity represents an important issue in Geographical Information Retrieval (GIR), due to the fact that queries are geographically constrained. There has been a struggle to nd speci c geographical IR methods that actually outperform traditional IR techniques. Toponym ambiguity may constitute a relevant factor in the inability of current GIR systems to take advantage from geographical knowledge. Recently, some Ph.D. theses have dealt with Toponym Disambiguation (TD) from di erent perspectives, from the development of resources for the evaluation of Toponym Disambiguation (Leidner (2007)) to the use of TD to improve geographical scope resolution (Andogah (2010)). The Ph.D. thesis presented here introduces a TD method based on WordNet and carries out a detailed study of the relationship of Toponym Disambiguation to some IR applications, such as GIR, Question Answering (QA) and Web retrieval. The work presented in this thesis starts with an introduction to the applications in which TD may result useful, together with an analysis of the ambiguity of toponyms in news collections. It could not be possible to study the ambiguity of toponyms without studying the resources that are used as placename repositories; these resources are the equivalent to language dictionaries, which provide the di erent meanings of a given word. Advisors/Committee Members: Rosso ., Paolo (advisor).

Subjects/Keywords: Geographical information retrieval; Toponym disambiguation; Information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Buscaldi, D. (2010). Toponym Disambiguation in Information Retrieval . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/8912

Chicago Manual of Style (16^th Edition):

Buscaldi, Davide. “Toponym Disambiguation in Information Retrieval .” 2010. Doctoral Dissertation, Universitat Politècnica de València. Accessed February 24, 2020. http://hdl.handle.net/10251/8912.

MLA Handbook (7^th Edition):

Buscaldi, Davide. “Toponym Disambiguation in Information Retrieval .” 2010. Web. 24 Feb 2020.

Vancouver:

Buscaldi D. Toponym Disambiguation in Information Retrieval . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2010. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10251/8912.

Council of Science Editors:

Buscaldi D. Toponym Disambiguation in Information Retrieval . [Doctoral Dissertation]. Universitat Politècnica de València; 2010. Available from: http://hdl.handle.net/10251/8912

University of Otago

7. Jia, Xiang-Fei. Approaches to an Efficient and Effective Search Engine .

Degree: 2013, University of Otago

URL: http://hdl.handle.net/10523/4453

► Information retrieval (IR) is the process of finding relevant information, based on user queries, in a large collection of documents. The two main performance issues… (more)

Subjects/Keywords: Information Retrieval; Efficiency

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Jia, X. (2013). Approaches to an Efficient and Effective Search Engine . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/4453

Chicago Manual of Style (16^th Edition):

Jia, Xiang-Fei. “Approaches to an Efficient and Effective Search Engine .” 2013. Doctoral Dissertation, University of Otago. Accessed February 24, 2020. http://hdl.handle.net/10523/4453.

MLA Handbook (7^th Edition):

Jia, Xiang-Fei. “Approaches to an Efficient and Effective Search Engine .” 2013. Web. 24 Feb 2020.

Vancouver:

Jia X. Approaches to an Efficient and Effective Search Engine . [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10523/4453.

Council of Science Editors:

Jia X. Approaches to an Efficient and Effective Search Engine . [Doctoral Dissertation]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4453

Texas A&M University

8. Garcia, Brenden Mark. Private Information Retrieval with Side Information.

Degree: MS, Computer Engineering, 2018, Texas A&M University

URL: http://hdl.handle.net/1969.1/173624

► The objective of the classical Private Information Retrieval (PIR) problem is to enable a user to download a message from a database that is replicated… (more)

▼ The objective of the classical Private Information Retrieval (PIR) problem is to enable a user to download a message from a database that is replicated across a collection of non-colluding servers without revealing the identity of the demanded message to the servers. In the classical PIR problem the user has no prior information about the content of messages in the database. It is easy to verify in the special case of the PIR problem when there is only one server in the system, the user must download all messages from the database in order keep information about the message they want private. In a real environment the user may have other sources to download and obtain messages from such as trusted peer-to-peer communication. In this way, the user has the potential to obtain some of the messages that are contained in the database to use as side information in a PIR scheme with the servers. Accordingly, we introduce the Private Information Retrieval with Side Information (PIR-SI) problem that focuses on settings in which the user has side information about some messages in the database. To capture the different levels of privacy a user may want to enforce in PIR-SI schemes two metrics of privacy, W-privacy and (W,S)-privacy, are introduced. W-privacy only protects information about the identity of the message that the user wants and is most similar to the measure of privacy in the original PIR problem. (W, S)-privacy protects the identity of the wanted message as well as the identities of the messages they have as side information and is a stronger sense of privacy than W-privacy. When enforcing either measure of privacy the user no longer has to download all the messages in the database, even if there is only one server in the system; side information reduces the amount of data that one has to download in a PIR scheme. The first case of the PIR-SI problem that we consider is when the user has M messages for side information and wants a different message from the database of K messages. When there is only one server in the system, we show that the optimal download rate for a W-private scheme is k^-1/M+1 and the optimal download rate for a (W, S)-private scheme is 1/K-M. When there is more than one server in the system a W-private scheme is presented that has a larger rate than the classical PIR scheme, but its optimality is not shown. The second case of the PIR-SI problem that is considered is when the user has M messages as side information, the user wants D > 1 distinct messages from the database, and there is only one server in the system. In the case when M = 1 a (W, S)-private optimal scheme is presented and shown to be optimal. In the case when M ≥ D and D = 2 a W-private scheme that can increase the rate from the (W, S)-private scheme with the same parameters is presented. This scheme’s optimality reminds an open problem. We highlight the difficulty of finding an optimal scheme and determining the capacity of the multi-message PIR-SI problem. Advisors/Committee Members: Sprintson, Alex (advisor), Yan, Catherine (committee member), Hou, I-Hong (committee member).

Subjects/Keywords: Private Information Retrieval

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APA (6^th Edition):

Garcia, B. M. (2018). Private Information Retrieval with Side Information. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/173624

Chicago Manual of Style (16^th Edition):

Garcia, Brenden Mark. “Private Information Retrieval with Side Information.” 2018. Masters Thesis, Texas A&M University. Accessed February 24, 2020. http://hdl.handle.net/1969.1/173624.

MLA Handbook (7^th Edition):

Garcia, Brenden Mark. “Private Information Retrieval with Side Information.” 2018. Web. 24 Feb 2020.

Vancouver:

Garcia BM. Private Information Retrieval with Side Information. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/1969.1/173624.

Council of Science Editors:

Garcia BM. Private Information Retrieval with Side Information. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/173624

Rutgers University

9. Kwon, Hannah, 1980-. On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory".

Degree: PhD, Communication, Information and Library Studies, 2016, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/50032/

►

If “information” is a central concept for library and information science, then “questions” are fundamental, for information “informs” relative to the question. But research focusing… (more)

▼

If “information” is a central concept for library and information science, then “questions” are fundamental, for information “informs” relative to the question. But research focusing on questions as a central theoretical concept has been stymied by the paradox of the question, which observes that in order to ask one must know enough to know what one does not know (Flammer, 1981). This dissertation proposes that this paradox results from the limitations of the cognitive approach to questions as indications of individual information need, and that the paradox can be resolved by reframing questions as social epistemological tools of inquiry within knowledge domains. The questions posed by three knowledge domains – neuroscience, literature, and computer engineering – on the common topic of “memory” are analyzed in order to investigate how the domains’ question formulations compare and what the comparisons convey about how to answer and the assumptions upon which question and answer are constructed. A method is developed for identifying the implicit questions that motivate and organize scholarly inquiry by analyzing dissertation abstracts as knowledge products of inquiry. The comparative question analysis of neuroscience, literature, and computer engineering dissertations’ question formulations about “memory” supports the proposition that knowledge domains ask different questions and ask them differently. What they ask, the content of their questions, communicates the indeterminate epistemic situation that each domain has of memory, while the mode of presentation of the question, its form, conveys the epistemic structure of inquiry and the production of knowledge. A social epistemological model of domains’ question formulations is developed that proposes that question content reflects domain ontologies, question form reflects domain epistemologies, and determinations of question relevance reflect domain sociality, which model has implications for document relevance, question negotiation, information retrieval design, and inquiry-based learning.

Advisors/Committee Members: Todd, Ross (chair), Radford, Marie (internal member), Dalbello, Marija (internal member), Zerubavel, Eviatar (outside member).

Subjects/Keywords: Memory; Information retrieval

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APA (6^th Edition):

Kwon, Hannah, 1. (2016). On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory". (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/50032/

Chicago Manual of Style (16^th Edition):

Kwon, Hannah, 1980-. “On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory".” 2016. Doctoral Dissertation, Rutgers University. Accessed February 24, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/50032/.

MLA Handbook (7^th Edition):

Kwon, Hannah, 1980-. “On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory".” 2016. Web. 24 Feb 2020.

Vancouver:

Kwon, Hannah 1. On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory". [Internet] [Doctoral dissertation]. Rutgers University; 2016. [cited 2020 Feb 24]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50032/.

Council of Science Editors:

Kwon, Hannah 1. On the social epistemological nature of questions: a comparative analysis of knowledge domains' question formulations on the topic of "memory". [Doctoral Dissertation]. Rutgers University; 2016. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/50032/

University of Zambia

10. Gwayi, Sarah. Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia .

Degree: 2016, University of Zambia

URL: http://dspace.unza.zm:8080/xmlui/handle/123456789/5107

► Information is an important resource that plays a significant role in people’s daily professional and personal lives. One of the concerns of information professionals is… (more)

Subjects/Keywords: Information Behaviour; Information Retrieval

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APA (6^th Edition):

Gwayi, S. (2016). Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia . (Thesis). University of Zambia. Retrieved from http://dspace.unza.zm:8080/xmlui/handle/123456789/5107

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Gwayi, Sarah. “Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia .” 2016. Thesis, University of Zambia. Accessed February 24, 2020. http://dspace.unza.zm:8080/xmlui/handle/123456789/5107.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Gwayi, Sarah. “Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia .” 2016. Web. 24 Feb 2020.

Vancouver:

Gwayi S. Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia . [Internet] [Thesis]. University of Zambia; 2016. [cited 2020 Feb 24]. Available from: http://dspace.unza.zm:8080/xmlui/handle/123456789/5107.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gwayi S. Information needs and information seeking behaviour of Teachers: survey of selected Secondary Schools in Lusaka,Zambia . [Thesis]. University of Zambia; 2016. Available from: http://dspace.unza.zm:8080/xmlui/handle/123456789/5107

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Rutgers University

11. Choi, Erik, 1979-. User motivation and expectation for asking a question in online q&a services.

Degree: PhD, Communication, Information and Library Studies, 2014, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/45223/

► Online Q&A services are online information sources where people identify their information need, formulate the need in natural language, and interact with one another to… (more)

▼ Online Q&A services are online information sources where people identify their information need, formulate the need in natural language, and interact with one another to receive answers to satisfy their needs. Even though in recent years online Q&A has grown considerably in popularity and impacted people’s information-seeking behaviors, we still have little understanding of what motivates people to ask a question and what they expect from others with respect to their answers to judge information quality in the online Q&A environments. The purpose of the dissertation is to understand the motivations and expectations behind questions asking of unknown people in online Q&A services. Therefore, Yahoo! Answers and WikiAnswers were selected as the test beds in the study because these online Q&A services allow people to interact with most likely unknown people via the question-answering processes, yet provide different features of how answers are given to a question. Three research questions are addressed: (1) motivation: what motivates people to ask a question that address their needs in Yahoo! Answers and WikiAnswers?; (2) Expectation: what are an asker’s expectations from other users to fulfill his or her needs when asking questions in Yahoo! Answers and WikiAnswers?; (3) relationship: how do motivations of asking a question relate to expectations of answer content in Yahoo! Answers and WikiAnswers?; and (4) comparison: To what extent are motivations, expectations, and the relationship between motivations and expectations different and/or similar between Yahoo! Answers and WikiAnswers? Cognitive needs such as finding factual information or seeking others’ opinion or advice were found as the most significant motivational factor that drives people to ask a question. Yet, it was found that other motivational factors (e.g., tension free needs) also played an important role in user motivations for asking a question, depending on peoples’ unique and contextual situations. It was found that when asking a question in online Q&A services, three main expectations were common: (1) looking for quick responses; (2) looking for additional or alternative information; and (3) looking for accurate or complete information. Additionally, dynamic relationships between different motivations and expectations for asking a question to seek contextual information to satisfy their unique situation are presented. The study also identified that there were incidents in which people have more than one motivation and/or expectation for asking a question. Understanding user motivations and expectations could provide a general framework of conceptualizing different contexts and situations of information needs that drive people into human-to-human interactions for seeking information within an online Q&A context. The findings from the dissertation have several implications not only to develop better question-answering processes in online Q&A environments, but also to contribute to gain insights into understanding of online information seeking… Advisors/Committee Members: Shah, Chirag (chair), Belkin, Nicholas (internal member), Radford, Marie (internal member), Teevan, Jaime (outside member).

Subjects/Keywords: Information retrieval; Information behavior

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Choi, Erik, 1. (2014). User motivation and expectation for asking a question in online q&a services. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45223/

Chicago Manual of Style (16^th Edition):

Choi, Erik, 1979-. “User motivation and expectation for asking a question in online q&a services.” 2014. Doctoral Dissertation, Rutgers University. Accessed February 24, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45223/.

MLA Handbook (7^th Edition):

Choi, Erik, 1979-. “User motivation and expectation for asking a question in online q&a services.” 2014. Web. 24 Feb 2020.

Vancouver:

Choi, Erik 1. User motivation and expectation for asking a question in online q&a services. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2020 Feb 24]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45223/.

Council of Science Editors:

Choi, Erik 1. User motivation and expectation for asking a question in online q&a services. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45223/

Rutgers University

12. Mitsui, Matthew, 1988-. Adopting a graphical perspective in interactive information retrieval research.

Degree: PhD, Computer Science, 2018, Rutgers University

URL: https://rucore.libraries.rutgers.edu/rutgers-lib/59171/

►

Previous work in interactive information retrieval (IIR) has explored the relationships between individuals’ search behavior, the characteristics of their search tasks, and their perceptions of… (more)

Subjects/Keywords: Information behavior; Information retrieval

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APA (6^th Edition):

Mitsui, Matthew, 1. (2018). Adopting a graphical perspective in interactive information retrieval research. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/59171/

Chicago Manual of Style (16^th Edition):

Mitsui, Matthew, 1988-. “Adopting a graphical perspective in interactive information retrieval research.” 2018. Doctoral Dissertation, Rutgers University. Accessed February 24, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/59171/.

MLA Handbook (7^th Edition):

Mitsui, Matthew, 1988-. “Adopting a graphical perspective in interactive information retrieval research.” 2018. Web. 24 Feb 2020.

Vancouver:

Mitsui, Matthew 1. Adopting a graphical perspective in interactive information retrieval research. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2020 Feb 24]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59171/.

Council of Science Editors:

Mitsui, Matthew 1. Adopting a graphical perspective in interactive information retrieval research. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/59171/

Drexel University

13. Huang, Zhong. Biomedical Information Extraction: Mining Disease Associated Genes from Literature.

Degree: 2014, Drexel University

URL: http://hdl.handle.net/1860/4371

►

Disease associated gene discovery is a critical step to realize the future of personalized medicine. However empirical and clinical validation of disease associated genes are… (more)

▼

Disease associated gene discovery is a critical step to realize the future of personalized medicine. However empirical and clinical validation of disease associated genes are time consuming and expensive. In silico discovery of disease associated genes from literature is therefore becoming the first essential step for biomarker discovery to support hypothesis formulation and decision making. Completion of human genome project and advent of high-throughput technology have produced tremendous amount of data, which results in exponential growing of biomedical knowledge deposited in literature database. The sheer quantity of unexplored information causes information overflow for biomedical researchers, and poses big challenge for informatics researchers to address user's information extraction needs. This thesis focused on mining disease associated genes from PubMed literature database using machine learning and graph theory based information extraction (IE) methods. Mining disease associated genes is not trivial and requires pipelines of information extraction steps and methods. Beginning from named entity recognition (NER), the author introduced semantic concept type into feature space for conditional random fields machine learning and demonstrated the effectiveness of the concept feature for disease NER. The effects of domain specific POS tagging, domain specific dictionaries, and named entity encoding scheme on NER performance were also explored. Experimental results show that by combining knowledge base with concept feature space, it can significantly improve the overall disease NER performance. It has also shown that shallow linguistic features of global and local word sequence context can be used with string kernel based supporting vector machine (SVM) for efficient disease-gene relation extraction. Lastly, the disease-associated gene network was constructed by utilizing concept co-occurrence matrix computed from disease focused document collection, and subjected to systematic topology analysis. The gene network was then merged with a seed-gene expanded network to form heterogeneous disease-gene network. The author identified and prioritized disease-associated genes by graph centrality measurements. This novel approach provides a new mean for disease associated gene extraction from large corpora.

Ph.D., Information Studies – Drexel University, 2014

Advisors/Committee Members: Hu, Xiaohua, College of Computing and Informatics.

Subjects/Keywords: Information studies; Bioinformatics; Information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huang, Z. (2014). Biomedical Information Extraction: Mining Disease Associated Genes from Literature. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huang, Zhong. “Biomedical Information Extraction: Mining Disease Associated Genes from Literature.” 2014. Thesis, Drexel University. Accessed February 24, 2020. http://hdl.handle.net/1860/4371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huang, Zhong. “Biomedical Information Extraction: Mining Disease Associated Genes from Literature.” 2014. Web. 24 Feb 2020.

Vancouver:

Huang Z. Biomedical Information Extraction: Mining Disease Associated Genes from Literature. [Internet] [Thesis]. Drexel University; 2014. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/1860/4371.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang Z. Biomedical Information Extraction: Mining Disease Associated Genes from Literature. [Thesis]. Drexel University; 2014. Available from: http://hdl.handle.net/1860/4371

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

14. Sehrawat, Nipun. A study of the impact of global statistics in distributed information retrieval.

Degree: MS, 0112, 2012, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/31920

► Today’s information retrieval systems have to deal with very large data collections and take a distributed approach to achieve scalable retrieval performance. The most widely… (more)

Subjects/Keywords: Distributed Information Retrieval; Global Statistics; Retrieval Performance

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APA (6^th Edition):

Sehrawat, N. (2012). A study of the impact of global statistics in distributed information retrieval. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31920

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sehrawat, Nipun. “A study of the impact of global statistics in distributed information retrieval.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed February 24, 2020. http://hdl.handle.net/2142/31920.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sehrawat, Nipun. “A study of the impact of global statistics in distributed information retrieval.” 2012. Web. 24 Feb 2020.

Vancouver:

Sehrawat N. A study of the impact of global statistics in distributed information retrieval. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/2142/31920.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sehrawat N. A study of the impact of global statistics in distributed information retrieval. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31920

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Cape Peninsula University of Technology

15. Uwimana, Iris. Postgraduate student success rate with free-form information searching .

Degree: 2017, Cape Peninsula University of Technology

URL: http://etd.cput.ac.za/handle/20.500.11838/2452

► The Internet has become a useful instrument in connecting users, regardless of their geographical locations, and has thus has made the world a small village… (more)

Subjects/Keywords: Information literacy; Information behavior; Information retrieval

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APA (6^th Edition):

Uwimana, I. (2017). Postgraduate student success rate with free-form information searching . (Thesis). Cape Peninsula University of Technology. Retrieved from http://etd.cput.ac.za/handle/20.500.11838/2452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Uwimana, Iris. “Postgraduate student success rate with free-form information searching .” 2017. Thesis, Cape Peninsula University of Technology. Accessed February 24, 2020. http://etd.cput.ac.za/handle/20.500.11838/2452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Uwimana, Iris. “Postgraduate student success rate with free-form information searching .” 2017. Web. 24 Feb 2020.

Vancouver:

Uwimana I. Postgraduate student success rate with free-form information searching . [Internet] [Thesis]. Cape Peninsula University of Technology; 2017. [cited 2020 Feb 24]. Available from: http://etd.cput.ac.za/handle/20.500.11838/2452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Uwimana I. Postgraduate student success rate with free-form information searching . [Thesis]. Cape Peninsula University of Technology; 2017. Available from: http://etd.cput.ac.za/handle/20.500.11838/2452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Drexel University

16. Xu, Xuheng. Cluster-based query expansion using language modeling for biomedical literature retrieval.

Degree: 2011, Drexel University

URL: http://hdl.handle.net/1860/3539

►

The tremendously huge volume of biomedical literature, scientists' specific information needs, long terms of multiples words, and fundamental problems ofsynonym and polysemy have been challenging… (more)

▼

The tremendously huge volume of biomedical literature, scientists' specific information needs, long terms of multiples words, and fundamental problems ofsynonym and polysemy have been challenging issues facing the biomedical information retrieval community researchers. Search engines have significantlyimproved the efficiency and effectiveness of biomedical literature searching. The search engines, however, are known to return many results that are irrelevant to the intention of a user’s query, in other words, perform not very sound in terms of precision and recall. To further improve precision and recall of biomedicalinformational retrieval, various query expansion strategies are widely used. In this thesis, we concentrate on empirical comparison, experiments and evaluations ininvestigating query expansion methods. We also use the findings as an empirical justification for cluster-based query expansion. We have investigated broadly many methods of query expansion such as local analysis, global analysis, ontology-based term reweighting across various search engines and obtained important insights. Among the findings, two-stage concept-based latent semantic analysis strategy and cluster-based query expansion have been presented and the Singular Value Decomposition (SVD) technique in the Latent Semantic Indexing (LSI) is utilized in the proposed method. In contrast to other query expansion methods, our strategy selects those terms that are most similar to the concepts of in the query as well as the related documents, rather than selects terms that are similar to the query terms only. Furthermore, we propose a novel framework for cluster-based query expansion. we have designed and implemented a novel and efficient computational approach to cluster-based query expansion using language modeling. Through our experiments in TREC genomic track ad-hoc retrieval task, we demonstrate that clusters which are created based on the whole collection or the initially returned document results of the original query can be utilized to perform query expansion and eventually improve the overall effectiveness and performance of information retrieval system in the biomedical literature retrieval. Lastly, we believe the principles of this strategy may be extended and utilized in other domains.

Ph.D., Information Studies – Drexel University, 2011

Advisors/Committee Members: Hu, Xiaohua.

Subjects/Keywords: Information science; QUERY (Information retrieval system); Information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xu, X. (2011). Cluster-based query expansion using language modeling for biomedical literature retrieval. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/3539

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xu, Xuheng. “Cluster-based query expansion using language modeling for biomedical literature retrieval.” 2011. Thesis, Drexel University. Accessed February 24, 2020. http://hdl.handle.net/1860/3539.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xu, Xuheng. “Cluster-based query expansion using language modeling for biomedical literature retrieval.” 2011. Web. 24 Feb 2020.

Vancouver:

Xu X. Cluster-based query expansion using language modeling for biomedical literature retrieval. [Internet] [Thesis]. Drexel University; 2011. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/1860/3539.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xu X. Cluster-based query expansion using language modeling for biomedical literature retrieval. [Thesis]. Drexel University; 2011. Available from: http://hdl.handle.net/1860/3539

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

17. Chittilla, Sai Subramanyam. Parsing the Wiki collection and snippet generation.

Degree: MS, Computer science, 2013, University of Minnesota

URL: http://purl.umn.edu/152253

►

University of Minnesota M.S. thesis. April 2013. Major: Computer science. Advisor: Dr Donald Crouch. 1 computer file (PDF); vi, 31 pages.

Information Retrieval (IR) is… (more)

Subjects/Keywords: INEX; Information Retrieval; Smart; Snippet

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APA (6^th Edition):

Chittilla, S. S. (2013). Parsing the Wiki collection and snippet generation. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/152253

Chicago Manual of Style (16^th Edition):

Chittilla, Sai Subramanyam. “Parsing the Wiki collection and snippet generation.” 2013. Masters Thesis, University of Minnesota. Accessed February 24, 2020. http://purl.umn.edu/152253.

MLA Handbook (7^th Edition):

Chittilla, Sai Subramanyam. “Parsing the Wiki collection and snippet generation.” 2013. Web. 24 Feb 2020.

Vancouver:

Chittilla SS. Parsing the Wiki collection and snippet generation. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2020 Feb 24]. Available from: http://purl.umn.edu/152253.

Council of Science Editors:

Chittilla SS. Parsing the Wiki collection and snippet generation. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/152253

University of Alberta

18. Xu, Ying. A tightness continuum measure of Chinese semantic units, and its application to information retrieval.

Degree: MS, Department of Computing Science, 2010, University of Alberta

URL: https://era.library.ualberta.ca/files/s7526d466

► Chinese is very different from alphabetical languages such as English, as there are no delimiters between Chinese words. So Chinese segmentation is an important step… (more)

Subjects/Keywords: information retrieval; Chinese; Compound

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Xu, Y. (2010). A tightness continuum measure of Chinese semantic units, and its application to information retrieval. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/s7526d466

Chicago Manual of Style (16^th Edition):

Xu, Ying. “A tightness continuum measure of Chinese semantic units, and its application to information retrieval.” 2010. Masters Thesis, University of Alberta. Accessed February 24, 2020. https://era.library.ualberta.ca/files/s7526d466.

MLA Handbook (7^th Edition):

Xu, Ying. “A tightness continuum measure of Chinese semantic units, and its application to information retrieval.” 2010. Web. 24 Feb 2020.

Vancouver:

Xu Y. A tightness continuum measure of Chinese semantic units, and its application to information retrieval. [Internet] [Masters thesis]. University of Alberta; 2010. [cited 2020 Feb 24]. Available from: https://era.library.ualberta.ca/files/s7526d466.

Council of Science Editors:

Xu Y. A tightness continuum measure of Chinese semantic units, and its application to information retrieval. [Masters Thesis]. University of Alberta; 2010. Available from: https://era.library.ualberta.ca/files/s7526d466

University of Alberta

19. Mohajeri, Saeed. BubbleNet: An Interactive Interface for Retrieving Documents.

Degree: MS, Department of Computing Science, 2013, University of Alberta

URL: https://era.library.ualberta.ca/files/js956f87b

► As the size of the World Wide Web and the type of documents it holds grow, the need for tools helping users to find their… (more)

Subjects/Keywords: Information Retrieval; BubbleNet; Interface

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mohajeri, S. (2013). BubbleNet: An Interactive Interface for Retrieving Documents. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/js956f87b

Chicago Manual of Style (16^th Edition):

Mohajeri, Saeed. “BubbleNet: An Interactive Interface for Retrieving Documents.” 2013. Masters Thesis, University of Alberta. Accessed February 24, 2020. https://era.library.ualberta.ca/files/js956f87b.

MLA Handbook (7^th Edition):

Mohajeri, Saeed. “BubbleNet: An Interactive Interface for Retrieving Documents.” 2013. Web. 24 Feb 2020.

Vancouver:

Mohajeri S. BubbleNet: An Interactive Interface for Retrieving Documents. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Feb 24]. Available from: https://era.library.ualberta.ca/files/js956f87b.

Council of Science Editors:

Mohajeri S. BubbleNet: An Interactive Interface for Retrieving Documents. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/js956f87b

Anna University

20. Sridevi U K. Ontology based optimization techniques for information retrieval;.

Degree: 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/15038

►

Searching the Web has become more challenging due to the rapid growth in information. The documents contain much valuable knowledge about a particular domain. The… (more)

▼

Searching the Web has become more challenging due to the rapid growth in information. The documents contain much valuable knowledge about a particular domain. The ontology can be used as main resource to understand the textual information contained within the documents. The objective of the research is to define a model for the annotation and retrieval using optimization techniques. This research shows how to apply ontology based annotation method to improve the retrieval. The quality of the solution obtained can be improved by using annotated weights and optimized clustering algorithm. Another objective is to extract relevant concept from the corpus. The ontology population generates the new instance and results in the semantic annotation of document. The main goal of information extraction is to retrieve the relevant information from the document and to create an instance of ontology. The main goal of ontology-driven information retrieval is to enhance search by making use of available semantic annotations and their underlining ontologies. The objective of the particle swarm optimization clustering algorithm is to discover the proper centroids of clusters for minimizing the intra-cluster distance as well as maximizing the distance between clusters. This study investigates the application of fuzzy particle swarm optimization in document clustering. The main objective is to apply the fuzzy particle swarm optimization clustering method on the semantically annotated documents. A fuzzy particle swarm optimization combined with ontology model of clustering knowledge documents is presented and compared to the traditional vector space model. It also overcomes the problems existing in the vector space model commonly used for clustering. The proposed ontology framework provides improved performance and better clustering compared to the traditional vector space model. The increase in F-measure is achieved when ontology as the distance measure in fuzzy particle swarm optimization. The improvement of 11% is achieved by ont

Appendix 1; pp. 118-124

Advisors/Committee Members: Nagaveni, N..

Subjects/Keywords: Ontology; optimization techniques; information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

K, S. U. (2014). Ontology based optimization techniques for information retrieval;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/15038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

K, Sridevi U. “Ontology based optimization techniques for information retrieval;.” 2014. Thesis, Anna University. Accessed February 24, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/15038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

K, Sridevi U. “Ontology based optimization techniques for information retrieval;.” 2014. Web. 24 Feb 2020.

Vancouver:

K SU. Ontology based optimization techniques for information retrieval;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Feb 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

K SU. Ontology based optimization techniques for information retrieval;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/15038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

21. Jacinth salome J. Performance issues in genetic Information retrieval;.

Degree: Performance issues in genetic Information retrieval, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/35492

►

Information retrieval IR systems are responsible for retrieval of large newlineamounts of data in an efficient manner The information retrieval task deals with newlineretrieving data… (more)

Subjects/Keywords: Information retrieval; Principal Component Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

J, J. s. (2015). Performance issues in genetic Information retrieval;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35492

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

J, Jacinth salome. “Performance issues in genetic Information retrieval;.” 2015. Thesis, Anna University. Accessed February 24, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/35492.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

J, Jacinth salome. “Performance issues in genetic Information retrieval;.” 2015. Web. 24 Feb 2020.

Vancouver:

J Js. Performance issues in genetic Information retrieval;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Feb 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35492.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

J Js. Performance issues in genetic Information retrieval;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35492

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

22. Vinoth kumar M. Intelligent agents for extracting Interesting information using mining Algorithm;.

Degree: Intelligent agents for extracting Interesting information using mining Algorithm, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/50226

►

Information extraction from the internet is one of the growing newlineresearch fields due to the uncontrollable fast growth of internet It mainly newlinehelps to process… (more)

Subjects/Keywords: Commercial databases; Information Retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

M, V. k. (2015). Intelligent agents for extracting Interesting information using mining Algorithm;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/50226

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

M, Vinoth kumar. “Intelligent agents for extracting Interesting information using mining Algorithm;.” 2015. Thesis, Anna University. Accessed February 24, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/50226.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

M, Vinoth kumar. “Intelligent agents for extracting Interesting information using mining Algorithm;.” 2015. Web. 24 Feb 2020.

Vancouver:

M Vk. Intelligent agents for extracting Interesting information using mining Algorithm;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Feb 24]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/50226.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

M Vk. Intelligent agents for extracting Interesting information using mining Algorithm;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/50226

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Minnesota

23. Chittilla, Sai Subramanyam. Parsing the Wiki collection and snippet generation.

Degree: MS, Computer science, 2013, University of Minnesota

URL: http://purl.umn.edu/152253

► Information Retrieval (IR) is a feld which deals with retrieving useful information from large sets of data in response to a query. Much information in… (more)

Subjects/Keywords: INEX; Information Retrieval; Smart; Snippet

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chittilla, S. S. (2013). Parsing the Wiki collection and snippet generation. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/152253

Chicago Manual of Style (16^th Edition):

Chittilla, Sai Subramanyam. “Parsing the Wiki collection and snippet generation.” 2013. Masters Thesis, University of Minnesota. Accessed February 24, 2020. http://purl.umn.edu/152253.

MLA Handbook (7^th Edition):

Chittilla, Sai Subramanyam. “Parsing the Wiki collection and snippet generation.” 2013. Web. 24 Feb 2020.

Vancouver:

Chittilla SS. Parsing the Wiki collection and snippet generation. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2020 Feb 24]. Available from: http://purl.umn.edu/152253.

Council of Science Editors:

Chittilla SS. Parsing the Wiki collection and snippet generation. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/152253

University of Illinois – Urbana-Champaign

24. Wang, Curtis. iKNOWx Forum Search: a system for case retrieval in online medical forums.

Degree: MS, 0112, 2013, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/44483

► This thesis describes a novel retrieval model for case retrieval from online medical forums. This model uses semantic query weighting to obtain a more accurate… (more)

Subjects/Keywords: Information Retrieval; Search Engine; Medicine

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APA (6^th Edition):

Wang, C. (2013). iKNOWx Forum Search: a system for case retrieval in online medical forums. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/44483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wang, Curtis. “iKNOWx Forum Search: a system for case retrieval in online medical forums.” 2013. Thesis, University of Illinois – Urbana-Champaign. Accessed February 24, 2020. http://hdl.handle.net/2142/44483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wang, Curtis. “iKNOWx Forum Search: a system for case retrieval in online medical forums.” 2013. Web. 24 Feb 2020.

Vancouver:

Wang C. iKNOWx Forum Search: a system for case retrieval in online medical forums. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2013. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/2142/44483.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang C. iKNOWx Forum Search: a system for case retrieval in online medical forums. [Thesis]. University of Illinois – Urbana-Champaign; 2013. Available from: http://hdl.handle.net/2142/44483

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Ryerson University

25. Amin, Tahir. Application of Laplacian Mixture Model to Image and Video Retrieval.

Degree: 2004, Ryerson University

URL: https://digital.library.ryerson.ca/islandora/object/RULA%3A1921

► In this study we present a new approach to feature extraction for image and video retrieval. A Laplacian mixture model is proposed to model the… (more)

▼ In this study we present a new approach to feature extraction for image and video retrieval. A Laplacian mixture model is proposed to model the peaky distributions of the wavelet coefficients. The proposed method extracts a low dimensional feature vector which is very important for the retrieval efficiency of the system in terms of response time. Although the importance of effective feature set cannot be overemphasized, yet it is very hard to describe image similarity with only low level features. Learning from the user feedback may enhance the system performance significantly. This approach, known as the relevance feedback, is adopted to further improve the efficiency of the system. The system learns from the user input in the form of positive and negative examples. The parameters of the system are modified by the user behavior. The parameters of the Laplacian mixture model are used to represent texture information of the images. The experimental evaluation indicates the high discriminatory power of the proposed features. The traditional measures of distance between two vectors like city-block or Euclidean are linear in nature. The human visual system does not follow this simple linear model. Therefore, a non-linear approach to the distance measure for defining the similarity between the two images is also explored in this work. It is observed that non-linear modelling of similarity yields more satisfactory performance and increases the retrieval performance by 7.5 per cent. Video is primarily mult-model, i.e., it contains different media components like audio, speech, visual information (frames) and caption (text). Traditionally, visual information is used for the video indexing and retrieval. The visual contents in the videos are very important; however, in some cases visual information is not very helpful for finding clues to the events. For example, certain action sequences such as goal events in a soccer game and explosion in a news video are easier to identify in the audio domain than in the visual domain. Since the proposed feature extraction scheme is based on the shape of the wavelet coefficient distribution, therefore it can also be applied to analyze the embedded audio contents of the video. We use audio information for indexing video clips. A feedback mechanism is also studied to improve the performance of the system. Advisors/Committee Members: Guan, Ling (Thesis advisor), Zeytinoglu, Mehmet (Thesis advisor).

Subjects/Keywords: Information retrieval

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APA (6^th Edition):

Amin, T. (2004). Application of Laplacian Mixture Model to Image and Video Retrieval. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A1921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Amin, Tahir. “Application of Laplacian Mixture Model to Image and Video Retrieval.” 2004. Thesis, Ryerson University. Accessed February 24, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A1921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Amin, Tahir. “Application of Laplacian Mixture Model to Image and Video Retrieval.” 2004. Web. 24 Feb 2020.

Vancouver:

Amin T. Application of Laplacian Mixture Model to Image and Video Retrieval. [Internet] [Thesis]. Ryerson University; 2004. [cited 2020 Feb 24]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amin T. Application of Laplacian Mixture Model to Image and Video Retrieval. [Thesis]. Ryerson University; 2004. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A1921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Queensland University of Technology

26. Koopman, Bevan Raymond. Semantic search as inference : applications in health informatics.

Degree: 2014, Queensland University of Technology

URL: https://eprints.qut.edu.au/71385/

This thesis developed new search engine models that elicit the meaning behind the words found in documents and queries, rather than simply matching keywords. These new models were applied to searching medical records: an area where search is particularly challenging yet can have significant benefits to our society.

Subjects/Keywords: Information Retrieval; Semantic Search; Health Informatics; Medical Information Retrieval; Information Retrieval Inference; Graph-based Information Retrieval; ODTA

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APA (6^th Edition):

Koopman, B. R. (2014). Semantic search as inference : applications in health informatics. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/71385/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Koopman, Bevan Raymond. “Semantic search as inference : applications in health informatics.” 2014. Thesis, Queensland University of Technology. Accessed February 24, 2020. https://eprints.qut.edu.au/71385/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Koopman, Bevan Raymond. “Semantic search as inference : applications in health informatics.” 2014. Web. 24 Feb 2020.

Vancouver:

Koopman BR. Semantic search as inference : applications in health informatics. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2020 Feb 24]. Available from: https://eprints.qut.edu.au/71385/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Koopman BR. Semantic search as inference : applications in health informatics. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/71385/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Virginia Tech

27. Muthiah, Sathappan. Forecasting Protests by Detecting Future Time Mentions in News and Social Media.

Degree: MS, Computer Science, 2014, Virginia Tech

URL: http://hdl.handle.net/10919/49535

► Civil unrest (protests, strikes, and ``occupy'' events) is a common occurrence in both democracies and authoritarian regimes. The study of civil unrest is a key… (more)

Subjects/Keywords: Textmining; Information Retrieval; Social Media

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APA (6^th Edition):

Muthiah, S. (2014). Forecasting Protests by Detecting Future Time Mentions in News and Social Media. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49535

Chicago Manual of Style (16^th Edition):

Muthiah, Sathappan. “Forecasting Protests by Detecting Future Time Mentions in News and Social Media.” 2014. Masters Thesis, Virginia Tech. Accessed February 24, 2020. http://hdl.handle.net/10919/49535.

MLA Handbook (7^th Edition):

Muthiah, Sathappan. “Forecasting Protests by Detecting Future Time Mentions in News and Social Media.” 2014. Web. 24 Feb 2020.

Vancouver:

Muthiah S. Forecasting Protests by Detecting Future Time Mentions in News and Social Media. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10919/49535.

Council of Science Editors:

Muthiah S. Forecasting Protests by Detecting Future Time Mentions in News and Social Media. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49535

Oregon State University

28. Oberst, Ian. On feature relevance feedback methods : incorporating labeled user features.

Degree: MS, Computer Science, 2010, Oregon State University

URL: http://hdl.handle.net/1957/17411

► In text classification, labeling features is often less time consuming than labeling entire documents. In situations where very little labeled training data is available, feature… (more)

Subjects/Keywords: feature relevance feedback; Information retrieval

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APA (6^th Edition):

Oberst, I. (2010). On feature relevance feedback methods : incorporating labeled user features. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/17411

Chicago Manual of Style (16^th Edition):

Oberst, Ian. “On feature relevance feedback methods : incorporating labeled user features.” 2010. Masters Thesis, Oregon State University. Accessed February 24, 2020. http://hdl.handle.net/1957/17411.

MLA Handbook (7^th Edition):

Oberst, Ian. “On feature relevance feedback methods : incorporating labeled user features.” 2010. Web. 24 Feb 2020.

Vancouver:

Oberst I. On feature relevance feedback methods : incorporating labeled user features. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/1957/17411.

Council of Science Editors:

Oberst I. On feature relevance feedback methods : incorporating labeled user features. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/17411

Oregon State University

29. Oman, Paul W. Personalized information management systems with tutorial capabilities.

Degree: MS, Computer Science, 1979, Oregon State University

URL: http://hdl.handle.net/1957/42611

► Technological advances of the last three decades have caused an enormous increase in the amount of published and unpublished information generated by our society. This… (more)

Subjects/Keywords: Information retrieval

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APA (6^th Edition):

Oman, P. W. (1979). Personalized information management systems with tutorial capabilities. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/42611

Chicago Manual of Style (16^th Edition):

Oman, Paul W. “Personalized information management systems with tutorial capabilities.” 1979. Masters Thesis, Oregon State University. Accessed February 24, 2020. http://hdl.handle.net/1957/42611.

MLA Handbook (7^th Edition):

Oman, Paul W. “Personalized information management systems with tutorial capabilities.” 1979. Web. 24 Feb 2020.

Vancouver:

Oman PW. Personalized information management systems with tutorial capabilities. [Internet] [Masters thesis]. Oregon State University; 1979. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/1957/42611.

Council of Science Editors:

Oman PW. Personalized information management systems with tutorial capabilities. [Masters Thesis]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/42611

30. Huibers, T.W.C. An axiomatic theory for information retrieval.

Degree: 1996, University Utrecht

URL: http://dspace.library.uu.nl/handle/1874/832 ; URN:NBN:NL:UI:10-1874-832 ; URN:NBN:NL:UI:10-1874-832 ; http://dspace.library.uu.nl/handle/1874/832

► Systemen die aan de hand van een vraagstelling relevante informatie opleveren worden information retrieval (IR) systemen genoemd. Deze systemen spelen een steeds belang- rijker rol… (more)

▼ Systemen die aan de hand van een vraagstelling relevante informatie opleveren worden information retrieval (IR) systemen genoemd. Deze systemen spelen een steeds belang- rijker rol in de informatievoorziening, zeker gezien de toenemende mate waarin docu- menten met ongestructureerde informatie (zoals rapporten, memo's, verslagen, foto's en video's) voor nader gebruik worden opgeslagen en het toenemend gebruik van digitale bibliotheken voor dit doel. Helaas komt het maar al te vaak voor dat opgeslagen rele- vante informatie, indien nodig, niet meer terug te vinden is. Dit is een gevolg van het feit dat het heel lastig is om te bepalen of een document relevant is voor een gegeven vraagstelling. Het terugvinden van relevante informatie, met uitsluiting van irrelevante informatie, wordt bovendien bemoeilijkt door het feit dat informatie niet meer in een statisch informatiedomein staat opgeslagen maar, mede door de opkomst van het digitale wegennet (Internet), zich kan bevinden in diverse, over de wereld verspreide, dynamische informatiedomeinen. De essentie van het zoeken naar relevante informatie kan als volgt omschreven worden: `Op welke wijze kan men relevante informatie onderscheiden van niet-relevante informatie met betrekking tot een zekere informatiebehoefte.' Naarmate een informatiedomein meer informatie bevat en er meer informatiedomeinen moeten worden doorzocht, wordt de rol van een IR-systeem belangrijker. Handmatige controle van het resultaat -is alle relevante informatie nu wel gevonden?- is onmogelijk geworden. Het wordt zodoende steeds belangrijker om op een verantwoorde wijze een IR-systeem, of een combinatie van meerdere IR-systemen, te selecteren. Om te helpen bij het maken van een verantwoorde keuze wordt in dit proefschrift een theoretisch raamwerk voor IR-systemen gepresenteerd. In dit raamwerk wordt vooral gekeken naar de wijze waarop in een IR-systeem een relevantie-beslissing tot stand komt. Aan de hand van deze studie zijn we in staat kwalitatieve uitspraken te doen over de relevantie-beslissingen van verschillende IR-systemen en kunnen we op deze manier ko- men tot een vergelijking van hun doelmatigheid. Als uitgangspunt geldt dat ieder IR-systeem een bepaalde methode heeft om te beslis- sen of een document relevant is gegeven een vraagstelling. Deze methode is afgeleid aan de hand van een model. Een IR-model is gebaseerd op de volgende drie fundamenten: 191?192 Samenvatting (i) de documentrepresentatie voor de meeste IR-modellen is dit gewoon een verzameling representatieve tref- woorden (keywords) maar steeds vaker gebruikt men tegenwoordig meer complexe representaties die de inhoud van een document preciezer omschrijven. (ii) de vraagstelling deze wordt meestal zo samengesteld dat deze direct passend is op de documentre- presentatie van het model. In veel modellen kan een vraagstelling worden samen- gesteld met behulp van connectoren zoals `en', `of', en `niet'. (iii) de matchingfunctie deze functie bepaalt of een documentrepresentatie relevant geacht…

Subjects/Keywords: Information retrieval

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huibers, T. W. C. (1996). An axiomatic theory for information retrieval. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/832 ; URN:NBN:NL:UI:10-1874-832 ; URN:NBN:NL:UI:10-1874-832 ; http://dspace.library.uu.nl/handle/1874/832

Chicago Manual of Style (16^th Edition):

Huibers, T W C. “An axiomatic theory for information retrieval.” 1996. Doctoral Dissertation, University Utrecht. Accessed February 24, 2020. http://dspace.library.uu.nl/handle/1874/832 ; URN:NBN:NL:UI:10-1874-832 ; URN:NBN:NL:UI:10-1874-832 ; http://dspace.library.uu.nl/handle/1874/832.

MLA Handbook (7^th Edition):

Huibers, T W C. “An axiomatic theory for information retrieval.” 1996. Web. 24 Feb 2020.

Vancouver:

Huibers TWC. An axiomatic theory for information retrieval. [Internet] [Doctoral dissertation]. University Utrecht; 1996. [cited 2020 Feb 24]. Available from: http://dspace.library.uu.nl/handle/1874/832 ; URN:NBN:NL:UI:10-1874-832 ; URN:NBN:NL:UI:10-1874-832 ; http://dspace.library.uu.nl/handle/1874/832.

Council of Science Editors:

Huibers TWC. An axiomatic theory for information retrieval. [Doctoral Dissertation]. University Utrecht; 1996. Available from: http://dspace.library.uu.nl/handle/1874/832 ; URN:NBN:NL:UI:10-1874-832 ; URN:NBN:NL:UI:10-1874-832 ; http://dspace.library.uu.nl/handle/1874/832

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Open Access Theses and Dissertations