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Co-evolución entre la Web Social y la Web Semántica

By: Contributor(s): Material type: TextTextPublication details: 2014Description: 1 archivo (6,0 MB) : il. colSubject(s): Online resources:
Contents:
I Introduction -- 1 Introduction -- 1.1 Co-Evolution Problem -- 1.2 Topic and Hypothesis -- 1.3 Contributions of this Thesis -- 1.4 Publications -- 1.4.1 From Social Web to Semantic Web -- 1.4.2 From Semantic Web to Social Web -- 1.5 Outline of this Thesis -- II From Social Web to Semantic Web -- 2 Introduction -- 2.1 Outline of the Second Part -- 3 Background -- 3.1 Collaborative Knowledge Building -- 3.1.1 Tools for Collaborative Knowledge Building Systems for -- Semantic Data -- 3.2 Semantic Wikis -- 3.3 Social Tagging -- 3.3.1 Gruber’s Model -- 3.4 Efforts in Semantic Data Generation -- 4 P-Swooki -- 4.1 P2P Collaborative Knowledge Building Approach -- 4.1.1 P2P Collaborative Knowledge Building Process -- 4.1.2 Personal Semantic Annotations: Individuals and Categories -- 4.2 P-Swooki: P2P Collaborative Knowledge Building System -- 4.2.1 Shared Semantic Annotation Management -- 4.2.2 Personal Semantic Annotations Management -- 4.2.3 P-Swooki Data Model -- 4.2.4 Personal Semantic Annotation Storage Model -- 4.2.5 Editing Operations -- 4.3 P-Swooki Implementation -- 5 Semdrops -- 5.1 Semdrops Approach -- 5.1.1 Semantic Social Tagging Model -- 5.1.2 Using Semantic Mediawiki as Semantic Support -- 5.1.3 How to Use the Model ? -- 5.2 Implementation -- 6 P-Swooki and Semdrops Evaluation -- 6.1 P-Swooki Evaluation -- 6.1.1 Method -- 6.1.2 Results -- 6.1.3 Discussion and Learned Lessons -- 6.2 Semdrops Evaluation -- 6.2.1 Method -- 6.2.2 Results -- 6.2.3 Usability Evaluation -- 6.2.4 Discussion and Learned Lessons -- 6.3 Summary of this Part -- III From Semantic Web to Social Web -- 7 Introduction -- 7.1 Outline of the Third Part -- 8 Background -- 8.1 Social Web: Wikipedia -- 8.1.1 Articles -- 8.1.2 Categories -- 8.1.3 Wikipedia Conventions -- 8.2 Semantic Web: DBpedia -- 8.2.1 Data extraction -- 8.2.2 Data Query -- 8.3 Collaborative Recommender Systems -- 8.3.1 Implicit and Explicit Ratings -- 8.3.2 Similarity Functions -- 8.3.3 Number of Neighbors -- 8.4 Improving Social Web with Semantic Web -- 8.4.1 General Approaches -- 8.4.2 Adding missing links in Wikipedia -- 9 A Semantic Information Gap Between DBpedia and Wikipedia -- 10 BlueFinder -- 10.1 Formal Definitions -- 10.1.1 DBpedia Model -- 10.1.2 Wikipedia Model -- 10.2 Wikipedia Pairs Connection -- 10.3 Problem Statement -- 10.4 BlueFinder Recommender System -- 10.4.1 Indexing -- 10.4.2 Recommendation -- 10.4.3 BlueFinder Algorithm -- 11 BlueFinder Evaluation -- 11.1 BlueFinder General Experimentation -- 11.1.1 Evaluation metrics -- 11.1.2 Results and discussion -- 11.2 Adapting BlueFinder to French and Spanish Wikipedia -- 11.2.1 Experimentation -- 11.3 Summary of this Part -- IV Conclusions and Perspective -- 12 Conclusions -- 13 Perspectives -- 13.0.1 Semdrops Improvements -- 13.0.2 BlueFinder improvements -- 13.0.3 Cross Language Combinations -- 13.0.4 Evolution of the Conventions -- 13.0.5 Semdrops and BlueFinder Mash-up -- A Appendix -- A.1 Social Evaluation -- A.1.1 Method -- A.1.2 Results and Discussion -- A.2 Tables
Dissertation note: Tesis (Doctorado en Ciencias Informáticas) - Universidad Nacional de La Plata. Facultad de Informática, 2023.
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Tesis (Doctorado en Ciencias Informáticas) - Universidad Nacional de La Plata. Facultad de Informática, 2023.

I Introduction -- 1 Introduction -- 1.1 Co-Evolution Problem -- 1.2 Topic and Hypothesis -- 1.3 Contributions of this Thesis -- 1.4 Publications -- 1.4.1 From Social Web to Semantic Web -- 1.4.2 From Semantic Web to Social Web -- 1.5 Outline of this Thesis -- II From Social Web to Semantic Web -- 2 Introduction -- 2.1 Outline of the Second Part -- 3 Background -- 3.1 Collaborative Knowledge Building -- 3.1.1 Tools for Collaborative Knowledge Building Systems for -- Semantic Data -- 3.2 Semantic Wikis -- 3.3 Social Tagging -- 3.3.1 Gruber’s Model -- 3.4 Efforts in Semantic Data Generation -- 4 P-Swooki -- 4.1 P2P Collaborative Knowledge Building Approach -- 4.1.1 P2P Collaborative Knowledge Building Process -- 4.1.2 Personal Semantic Annotations: Individuals and Categories -- 4.2 P-Swooki: P2P Collaborative Knowledge Building System -- 4.2.1 Shared Semantic Annotation Management -- 4.2.2 Personal Semantic Annotations Management -- 4.2.3 P-Swooki Data Model -- 4.2.4 Personal Semantic Annotation Storage Model -- 4.2.5 Editing Operations -- 4.3 P-Swooki Implementation -- 5 Semdrops -- 5.1 Semdrops Approach -- 5.1.1 Semantic Social Tagging Model -- 5.1.2 Using Semantic Mediawiki as Semantic Support -- 5.1.3 How to Use the Model ? -- 5.2 Implementation -- 6 P-Swooki and Semdrops Evaluation -- 6.1 P-Swooki Evaluation -- 6.1.1 Method -- 6.1.2 Results -- 6.1.3 Discussion and Learned Lessons -- 6.2 Semdrops Evaluation -- 6.2.1 Method -- 6.2.2 Results -- 6.2.3 Usability Evaluation -- 6.2.4 Discussion and Learned Lessons -- 6.3 Summary of this Part -- III From Semantic Web to Social Web -- 7 Introduction -- 7.1 Outline of the Third Part -- 8 Background -- 8.1 Social Web: Wikipedia -- 8.1.1 Articles -- 8.1.2 Categories -- 8.1.3 Wikipedia Conventions -- 8.2 Semantic Web: DBpedia -- 8.2.1 Data extraction -- 8.2.2 Data Query -- 8.3 Collaborative Recommender Systems -- 8.3.1 Implicit and Explicit Ratings -- 8.3.2 Similarity Functions -- 8.3.3 Number of Neighbors -- 8.4 Improving Social Web with Semantic Web -- 8.4.1 General Approaches -- 8.4.2 Adding missing links in Wikipedia -- 9 A Semantic Information Gap Between DBpedia and Wikipedia -- 10 BlueFinder -- 10.1 Formal Definitions -- 10.1.1 DBpedia Model -- 10.1.2 Wikipedia Model -- 10.2 Wikipedia Pairs Connection -- 10.3 Problem Statement -- 10.4 BlueFinder Recommender System -- 10.4.1 Indexing -- 10.4.2 Recommendation -- 10.4.3 BlueFinder Algorithm -- 11 BlueFinder Evaluation -- 11.1 BlueFinder General Experimentation -- 11.1.1 Evaluation metrics -- 11.1.2 Results and discussion -- 11.2 Adapting BlueFinder to French and Spanish Wikipedia -- 11.2.1 Experimentation -- 11.3 Summary of this Part -- IV Conclusions and Perspective -- 12 Conclusions -- 13 Perspectives -- 13.0.1 Semdrops Improvements -- 13.0.2 BlueFinder improvements -- 13.0.3 Cross Language Combinations -- 13.0.4 Evolution of the Conventions -- 13.0.5 Semdrops and BlueFinder Mash-up -- A Appendix -- A.1 Social Evaluation -- A.1.1 Method -- A.1.2 Results and Discussion -- A.2 Tables

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