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You searched for subject:(Patent clustering). Showing records 1 – 3 of 3 total matches.

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Delft University of Technology

1. Kruijthoff, K. Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning:.

Degree: 2015, Delft University of Technology

Within technological R&D companies, the decisions made within their Strategic Technology Planning (STP) process are of great importance due to their financial, legal and competitive repercussions. For this reason their R&D managers want to be as widely informed as possible about the risks and benefits of developing a certain technology. As the subjects for which these decisions are made, are too complex to comprehend, there is exploitation of so-called Decision Support Systems. This research focusses on those Decision Support Systems in the STP process which are based on patent analysis. Patent analysis is relevant to apply in this process as the patent database is considered to be a comprehensive collection of technological concepts. This is due to the fact that companies voluntarily deliver the information, and benefit from describing their technological innovation as complete as possible. Throughout the STP process multiple needs for insight to make informed decisions can be detected. However, as every applied form of analysis will present a representation of the selected subject, which’ outcome is based on assumptions made as well as on the underlying method applied. The user cannot be sure that this given outcome is always correctly representing reality. Hence, they are applying multiple representation methods on the same subject, a process which is also referred to as multiplism. Within this process they are searching for robust outcomes that hold true under all the different representations. Due to this process, there is an ever present interest in new methods of representation and analysis, to extend the R&D division’s decision support toolkit. Due to the ever present need for more insight, alongside a methodological interest, this research focusses on the evaluation of the applicability of conceptual clustering to patents, as well as its potential usability in the STP process. Conceptual clustering is a machine learning technique developed in the 1980’s, which automatically categorizes the entered information, resulting in a tree shaped hierarchy. The conceptual clustering technique hasn’t been found to be applied to patents before and this research will therefore also focus on identifying its potential use within the STP process. To gain insight into the different needs for patent analysis within the STP process, as well as to provide a source for evaluation, a design has been made for the decision support system by applying the Axiomatic Design method. The inputs for this design are customer needs which have been based on a literature study and expert input on the different applications for patent analysis in the STP process. To assess its potential applicability, a prototype Decision Support System, constructed around the method of conceptual clustering applied to patents, has been developed. For which the implementation of the conceptual clustering functionality is done based on the COBWEB algorithm as proposed by Fisher. The prototype entails two software products written in Python which are… Advisors/Committee Members: Cunningham, S., Van Geenhuizen, M.S., Van Splunter, S., Sanz, A..

Subjects/Keywords: Conceptual Clustering; Visualization; Patent Analysis

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APA (6th Edition):

Kruijthoff, K. (2015). Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408

Chicago Manual of Style (16th Edition):

Kruijthoff, K. “Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning:.” 2015. Masters Thesis, Delft University of Technology. Accessed February 24, 2020. http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408.

MLA Handbook (7th Edition):

Kruijthoff, K. “Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning:.” 2015. Web. 24 Feb 2020.

Vancouver:

Kruijthoff K. Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Feb 24]. Available from: http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408.

Council of Science Editors:

Kruijthoff K. Conceptual Clustering of Patents: Enhancing insight for the decision making process in Strategic Technology Planning:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:f0f0691c-f1a2-48f8-bafe-35a21fc4c408


University of Queensland

2. Almutairi, Ibrahim. Patent Portfolio Constructionism for Biopharmaceuticals Lifecycle Management.

Degree: School of Chemistry and Molecular Biosciences, 2019, University of Queensland

Biopharmaceutical inventions challenge the patent system’s ability to provide sufficient market exclusivity for new and emergent technologies and create a competitive advantage. Recently, the theory of ‘the patent portfolio’ has emerged to explain modern views of the value of exclusivity. This thesis aims to address the increasing complexity and nature of the ‘private value’ of patent portfolios and the related companies’ patenting strategies in the biopharmaceutical industry. The inconsistent understanding of, and the underlying linkage between, the ‘private value’ of patent portfolios and patenting strategies often results in reduced efficiency in drug lifecycle management. In an attempt to characterize companies’ patenting strategies, the logic behind the influence of patent portfolio attributes in the process of ‘private value’ creation has been examined. This thesis attempts to develop a novel conceptual model of ‘private value’ and advance the understanding of patent portfolios in therapeutic biologics. The model of ‘private value’ integrates a conceptual framework of the portfolio attributes of Scale, Technology Diversity, Total Citations and Age. The conceptual model was empirically investigated using data sources of patent portfolios for 116 FDA approved therapeutic biologics. Portfolio ‘private value’ attribute variances were employed to identify the incremental ‘private value’ constructs of patent portfolios using Principal Component Analysis. In addition, given the diversity of patenting strategies, an investigation of how patenting behaviours across biopharmaceutical companies influence the ‘private value’ of patent portfolios in the drug lifecycle management process was conducted.The findings in this thesis contribute to the understanding of the ‘private value’ in biopharmaceutical lifecycle management (LCM) in a number of ways. The analysis shows that the ‘private value’ of patent portfolios is most closely related to the technical scope constructs of ‘Uncertainty’ and ‘Substitution’. The results also indicate that the attributes that contribute most to ‘private value’ are Scale, Total Citations, and Age withScale being the most important. On the basis of my research, I suggest the consideration of alternative attributes for patent portfolio theory, i.e. the ‘Technology Strength’ and ‘Lifetime’. Moreover, the synergy of both proposed attributes is as important as the factors themselves.Three patent clusters for patenting patterns were identified. The cluster taxonomy shows the impact of portfolio characteristics on the selected patenting strategies. The observed patenting strategies confirm the dominance of offensive strategies to increase the lifecycle of therapeutic biologics. Offensive blockage strategies are invariably connected with the creation of early ‘Uncertainty’ and later ‘Substitution’ constructs of ‘private value’. The findings suggest that the most successful configuration of patent portfolios is characterised by targeted patenting strategies that are in alignment with the desired…

Subjects/Keywords: Biopharmaceuticals patenting; Therapeutic biologics patenting; Patent portfolios; Portfolio private value; Patenting strategy; Patent analysis; Patent clustering; Drug lifecycle management; 1004 Medical Biotechnology; 1503 Business and Management; 1801 Law

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

APA (6th Edition):

Almutairi, I. (2019). Patent Portfolio Constructionism for Biopharmaceuticals Lifecycle Management. (Thesis). University of Queensland. Retrieved from http://espace.library.uq.edu.au/view/UQ:0

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

Chicago Manual of Style (16th Edition):

Almutairi, Ibrahim. “Patent Portfolio Constructionism for Biopharmaceuticals Lifecycle Management.” 2019. Thesis, University of Queensland. Accessed February 24, 2020. http://espace.library.uq.edu.au/view/UQ:0.

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

MLA Handbook (7th Edition):

Almutairi, Ibrahim. “Patent Portfolio Constructionism for Biopharmaceuticals Lifecycle Management.” 2019. Web. 24 Feb 2020.

Vancouver:

Almutairi I. Patent Portfolio Constructionism for Biopharmaceuticals Lifecycle Management. [Internet] [Thesis]. University of Queensland; 2019. [cited 2020 Feb 24]. Available from: http://espace.library.uq.edu.au/view/UQ:0.

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

Council of Science Editors:

Almutairi I. Patent Portfolio Constructionism for Biopharmaceuticals Lifecycle Management. [Thesis]. University of Queensland; 2019. Available from: http://espace.library.uq.edu.au/view/UQ:0

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


Universitat Pompeu Fabra

3. Ferraro, Gabriela. Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims.

Degree: Departament de Tecnologies de la Informació i les Comunicacions, 2012, Universitat Pompeu Fabra

Esta tesis se centra en el del desarrollo de tecnologías del Procesamiento del Lenguage Natural para la extracción y generalización de relaciones encontradas en textos especializados; concretamente en las reivindicaciones de patentes. Una de las tareas más demandadas de nuestro trabajo, desde el punto vista del estado de la cuestión, es la generalización de las denominaciones lingüísticas de las relaciones. Estas denominaciones, usualmente verbos, son demasiado concretas para ser usadas como etiquetas de relaciones en el contexto de la representación del conocimiento; por ejemplo, “A lleva a B”, “B es el resultado de A” están mejor representadas por “A causa B”. La generalización de relaciones permite reducir el n\'umero de relaciones a un conjunto limitado, orientado al tipo de relaciones utilizadas en el campo de la representación del conocimiento. Advisors/Committee Members: [email protected] (authoremail), true (authoremailshow), Wanner, Leo (director), true (authorsendemail).

Subjects/Keywords: Artificial intelligence; Natural language processing; Relation extraction; Linguistic dependency; Deep syntactic parsing; Surface syntactic parsing; Valency structure; Relation generalization; Relation clustering; Relation cluster labeling; Text simplification; Patent processing; Patent claim processing; Meaning-Text Theory; Machine learning; 81

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

APA (6th Edition):

Ferraro, G. (2012). Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims. (Thesis). Universitat Pompeu Fabra. Retrieved from http://hdl.handle.net/10803/84174

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

Chicago Manual of Style (16th Edition):

Ferraro, Gabriela. “Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims.” 2012. Thesis, Universitat Pompeu Fabra. Accessed February 24, 2020. http://hdl.handle.net/10803/84174.

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

MLA Handbook (7th Edition):

Ferraro, Gabriela. “Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims.” 2012. Web. 24 Feb 2020.

Vancouver:

Ferraro G. Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims. [Internet] [Thesis]. Universitat Pompeu Fabra; 2012. [cited 2020 Feb 24]. Available from: http://hdl.handle.net/10803/84174.

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

Council of Science Editors:

Ferraro G. Towards deep content extraction from specialized discourse : the case of verbal relations in patent claims. [Thesis]. Universitat Pompeu Fabra; 2012. Available from: http://hdl.handle.net/10803/84174

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

.