The FORA Framework : A Fuzzy Grassroots Ontology for Online Reputation Management

Online-Ressource (XXVI, 204 p. 31 illus, digital)

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The FORA Framework; A Fuzzy Grassroots Ontology for Online Reputation Management; Foreword; Acknowledgments; Abstract; Contents; List of Algorithms; List of Figures; List of Tables; List of Abbreviations; List of Symbols; Chapter 1: Introduction; 1.1 Motivation of Research; 1.2 Research Issues; 1.3 Research Methods; 1.4 Structure of This Thesis; 1.5 General Information; Part I: Theoretical Background; Chapter 2: The Social Semantic Web; 2.1 History on the Convergence of Information and Media; 2.2 Social Web Elements and Their Classification; 2.2.1 Weblogs; 2.2.2 Microblogs; 2.2.3 Folksonomies

2.2.4 Wikis2.2.5 Social Networks; 2.3 The Vision of the Semantic Web; 2.3.1 Resource Description Framework; 2.3.2 RDF Schema; 2.3.3 Web Ontology Language; 2.3.4 Rule Interchange Format; 2.3.5 SPARQL Protocol and RDF Query Language; 2.4 Towards a Social Semantic Web; 2.5 Further Readings; Chapter 3: Fundamentals of Fuzzy Clustering Methods; 3.1 Introduction to Cluster Analysis; 3.2 Cluster Analysis for Object Data; 3.2.1 Determining the Proximity Measurement; 3.2.2 Determining the Number of Clusters; 3.2.3 Clustering; 3.2.4 Validation of the Clusters; 3.3 Introduction to Fuzziness

3.3.1 Fuzzy Set Theory3.3.2 Fuzzy Clustering; 3.4 Applying Fuzzy Clustering to the Social Semantic Web; 3.5 Further Readings; Part II: Field of Application; Chapter 4: Online Reputation Analysis; 4.1 The Process of Reputation Management; 4.1.1 Identification of Reputation Issues; 4.1.2 Analysis of Identified Reputation Issues; 4.1.3 Reaction to Analyzed Reputation Issues; 4.1.4 Control the Reputation Management Process; 4.2 Online Reputation Management; 4.2.1 Weblogs; 4.2.2 Microblogs; 4.2.3 Folksonomies; 4.2.4 Wikis; 4.2.5 Social Networks; 4.2.6 Interaction with Social Media Elements

4.3 Online Reputation Analysis4.3.1 Scanning of Online Reputation Issues; 4.3.2 Monitoring of Scanned Online Reputation Issues; 4.3.3 Forecasting of Identified Online Reputation Issues; 4.4 Use of Ontologies for Online Reputation Analysis; 4.4.1 Exploration Through Interactive Visualization; 4.4.2 Visualizing the Fuzzy Grassroots Ontology; 4.5 Further Readings; Chapter 5: Requirements for Online Reputation Analysis; 5.1 The Apple Inc. Scenario; 5.2 Case Studies; 5.2.1 Cooperate Rather Than Coordinate; 5.2.2 The Social Web as Research Tool; 5.2.3 Online Reputation Analysis Test Bench

5.3 Online Reputation Analysis Requirements5.3.1 React to Mentions; 5.3.2 Put Mentions in Context; 5.3.3 Edit Found Mentions; 5.4 Implications for the Framework; 5.5 Further Readings; Part III: Framework and Implementation; Chapter 6: Fuzzy Online Reputation Analysis Framework; 6.1 Outline of the Framework; 6.2 Architecture and Component Interaction; 6.2.1 Reputation Search Engine Layer; 6.2.2 Knowledge Base Layer; 6.2.3 Dashboard Layer; 6.3 Comparisons of Key Components; 6.3.1 Fuzzy Clustering Algorithms; 6.3.2 Knowledge Administration Systems; 6.3.3 Knowledge Representation Systems

6.4 Implications for the Prototype

10.1007/978-3-642-33233-3 [DOI]

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