Co-evolución entre la Web Social y la Web Semántica

Detalles Bibliográficos
Autor Principal: Torres, Diego
Otros autores o Colaboradores: Díaz, Alicia Viviana (Director/a), Molli, Pascal (Director/a), Skaf-Molli, Hala (Codirector/a)
Formato: Tesis
Lengua:español
Datos de publicación: 2014
Temas:
WEB SEMÁNTICA
web social
Acceso en línea:http://catalogo.info.unlp.edu.ar/meran/getDocument.pl?id=2626
Consultar en el Cátalogo
Descripción Física:1 archivo (6,0 MB) : il. col.
Tabla de Contenidos:
  • 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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