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You searched for subject:(Reference chains). Showing records 1 – 2 of 2 total matches.

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Queensland University of Technology

1. Lux, Johannes W. Creating a Reference Model for the Creative Industries – Evaluation of Configurable Event Driven Process Chains in Practice.

Degree: 2006, Queensland University of Technology

The Australian screen business is facing new challenges to stay competitive. Increasing globalization on the one hand offers new opportunities for service-related companies but on the other hand raises the competition in drawing the attention of production companies. Motivated by a lack of process-centered management support, this work aims to deliver a starting point for an application of Business Process Management principles and practices within the Creative Industries to help facing the new challenges. I therefore present a reference process model for the post production part of screen business productions. To allow for comprehensive adaptation to project-specific scenarios or a company’s requirements the model is developed as Configurable Even-Driven Process Chain. The designated reference modeling language provides means to clearly specify process variations. In a second step I use the application in a real-life case to contribute to the empirical validation of the modeling language and to reflect on the relevance and completeness of the language.

Subjects/Keywords: 080000 INFORMATION AND COMPUTING SCIENCES; BPM; Business Process Management; Creative Industries; Screen business; Reference Model; Post; production; C; EPC; Configurable Event; Driven Process Chains; Reference modelling

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

APA (6th Edition):

Lux, J. W. (2006). Creating a Reference Model for the Creative Industries – Evaluation of Configurable Event Driven Process Chains in Practice. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/5671/

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):

Lux, Johannes W. “Creating a Reference Model for the Creative Industries – Evaluation of Configurable Event Driven Process Chains in Practice.” 2006. Thesis, Queensland University of Technology. Accessed September 17, 2019. http://eprints.qut.edu.au/5671/.

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

MLA Handbook (7th Edition):

Lux, Johannes W. “Creating a Reference Model for the Creative Industries – Evaluation of Configurable Event Driven Process Chains in Practice.” 2006. Web. 17 Sep 2019.

Vancouver:

Lux JW. Creating a Reference Model for the Creative Industries – Evaluation of Configurable Event Driven Process Chains in Practice. [Internet] [Thesis]. Queensland University of Technology; 2006. [cited 2019 Sep 17]. Available from: http://eprints.qut.edu.au/5671/.

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

Council of Science Editors:

Lux JW. Creating a Reference Model for the Creative Industries – Evaluation of Configurable Event Driven Process Chains in Practice. [Thesis]. Queensland University of Technology; 2006. Available from: http://eprints.qut.edu.au/5671/

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

2. Longo, Laurence. Vers des moteurs de recherche "intelligents" : un outil de détection automatique de thèmes : méthode basée sur l'identification automatique des chaînes de référence : Toward "intelligent" search engines : an automatic topic detection tool : method based on automatic reference chains identification.

Degree: Docteur es, Sciences du langage, 2013, Université de Strasbourg

Cette thèse se situe dans le domaine du Traitement Automatique des Langues et vise à optimiser la classification des documents dans les moteurs de recherche. Les travaux se concentrent sur le développement d’un outil de détection automatique des thèmes des documents (ATDS-fr). Utilisant peu de connaissances, la méthode hybride adoptée allie des techniques statistiques de segmentation thématique à des méthodes linguistiques identifiant des marqueurs de cohésion. Parmi eux, les chaînes de référence – séquence d’expressions référentielles se rapportant à la même entité du discours (e.g. Paul…il…cet homme) – ont fait l’objet d’une attention particulière, car elles constituent un indice textuel important dans la détection des thèmes (i.e. ce sont des marqueurs d’introduction, de maintien et de changement thématique). Ainsi, à partir d’une étude des chaînes de référence menée dans un corpus issu de genres textuels variés (analyses politiques, rapports publics, lois européennes,éditoriaux, roman), nous avons développé un module d’identification automatique des chaînes de référence RefGen qui a été évalué suivant les métriques actuelles de la coréférence.

This thesis in the field of Natural Language Processing aims at optimizing documents classification in search engines. This work focuses on the development of a tool that automatically detects documents topics (ATDS-fr). Using poor knowledge, the hybrid method combines statistical techniques for topic segmentation and linguistic methods that identify cohesive markers. Among them, reference chains - sequences of referential expressions referring to the same entity (e.g. Paul ... he ... this man) - have been given special attention as they are important topic markers (i.e. they are markers of topic introduction, maintenance and change). Thus, from a study of reference chains extracted from a corpus composed of various textual genres (newspapers, public reports, European laws, editorials and novel) we developed RefGen, an automatic reference chains identification module, which was evaluated according to current coreference metrics.

Advisors/Committee Members: Schnedecker, Catherine (thesis director), Todiraşcu-Courtier, Amalia (thesis director).

Subjects/Keywords: Détection automatique de thèmes; Chaînes de référence; Traitement automatique des langues; Sémantique lexicale; Coréférence; Genres textuels; Segmentation thématique; Marqueurs linguistiques; Cohésion; Linguistique de corpus; Topic detection; Reference chains; Natural language processing; Lexical semantics; Coreference; Textual genre; Topic segmentation; Linguistic markers; Cohesion; Corpus linguistics; 401.4; 004.678

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

APA (6th Edition):

Longo, L. (2013). Vers des moteurs de recherche "intelligents" : un outil de détection automatique de thèmes : méthode basée sur l'identification automatique des chaînes de référence : Toward "intelligent" search engines : an automatic topic detection tool : method based on automatic reference chains identification. (Doctoral Dissertation). Université de Strasbourg. Retrieved from http://www.theses.fr/2013STRAC041

Chicago Manual of Style (16th Edition):

Longo, Laurence. “Vers des moteurs de recherche "intelligents" : un outil de détection automatique de thèmes : méthode basée sur l'identification automatique des chaînes de référence : Toward "intelligent" search engines : an automatic topic detection tool : method based on automatic reference chains identification.” 2013. Doctoral Dissertation, Université de Strasbourg. Accessed September 17, 2019. http://www.theses.fr/2013STRAC041.

MLA Handbook (7th Edition):

Longo, Laurence. “Vers des moteurs de recherche "intelligents" : un outil de détection automatique de thèmes : méthode basée sur l'identification automatique des chaînes de référence : Toward "intelligent" search engines : an automatic topic detection tool : method based on automatic reference chains identification.” 2013. Web. 17 Sep 2019.

Vancouver:

Longo L. Vers des moteurs de recherche "intelligents" : un outil de détection automatique de thèmes : méthode basée sur l'identification automatique des chaînes de référence : Toward "intelligent" search engines : an automatic topic detection tool : method based on automatic reference chains identification. [Internet] [Doctoral dissertation]. Université de Strasbourg; 2013. [cited 2019 Sep 17]. Available from: http://www.theses.fr/2013STRAC041.

Council of Science Editors:

Longo L. Vers des moteurs de recherche "intelligents" : un outil de détection automatique de thèmes : méthode basée sur l'identification automatique des chaînes de référence : Toward "intelligent" search engines : an automatic topic detection tool : method based on automatic reference chains identification. [Doctoral Dissertation]. Université de Strasbourg; 2013. Available from: http://www.theses.fr/2013STRAC041

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