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

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Kataloginformation
Feldname	Details
Vorliegende Sprache	eng
Hinweise auf parallele Ausgaben	378503847 Erscheint auch als (Druck-Ausgabe): ‡Portmann, Edy, 1976 - : ¬The¬ FORA framework
ISBN	978-3-642-33232-6
Name	Portmann, Edy
T I T E L	¬The¬ FORA Framework
Zusatz zum Titel	A Fuzzy Grassroots Ontology for Online Reputation Management
Verlagsort	Berlin ; Heidelberg
Verlag	Springer
Erscheinungsjahr	2013
Erscheinungsjahr	2013
Umfang	Online-Ressource (XXVI, 204 p. 31 illus, digital)
Reihe	Fuzzy Management Methods
Notiz / Fußnoten	Description based upon print version of record
Weiterer Inhalt	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
Titelhinweis	Erscheint auch als (Druck-Ausgabe): ‡Portmann, Edy, 1976 - : ¬The¬ FORA framework
ISBN	ISBN 978-3-642-33233-3
	ISBN 1-283-94630-0 ebk
	ISBN 978-1-283-94630-8 MyiLibrary
Klassifikation	JFD
	KNT
	BUS070060
	658
	HD28-70
Kurzbeschreibung	The Social Semantic Web -- Fundamentals of Fuzzy Clustering Methods -- Online Reputation Analysis -- Requirements for Online Reputation Analysis -- Fuzzy Online Reputation Analysis Framework -- The YouReputation Prototype -- Conclusion.
2. Kurzbeschreibung	Online reputation management deals with monitoring and influencing the online record of a person, an organization or a product. The Social Web offers increasingly simple ways to publish and disseminate personal or opinionated information, which can rapidly have a disastrous influence on the online reputation of some of the entities. The author focuses on the Social Web and possibilities of its integration with the Semantic Web as resource for a semi-automated tracking of online reputations using imprecise natural language terms. The inherent structure of natural language supports humans not only in communication but also in the perception of the world. Thereby fuzziness is a promising tool for transforming those human perceptions into computer artifacts. Through fuzzy grassroots ontologies, the Social Semantic Web becomes more naturally and thus can streamline online reputation management. For readers interested in the cross-over field of computer science, information systems, and social sciences, this book is an ideal source for becoming acquainted with the evolving field of fuzzy online reputation management in the Social Semantic Web area
1. Schlagwortkette	Prestige
	Image
	World Wide Web 2.0
	Semantic Web
	Fuzzy-Clusteranalyse
	Ontologie <Wissensverarbeitung>
	Bottom-up-Prinzip
	Suchmaschine
SWB-Titel-Idn	377596213
Signatur	Springer E-Book
Bemerkungen	Elektronischer Volltext - Campuslizenz
Elektronische Adresse	$uhttp://dx.doi.org/10.1007/978-3-642-33233-3
Internetseite / Link	Volltext
Siehe auch	Inhaltsverzeichnis
Siehe auch	Inhaltstext
Siehe auch	Volltext
Siehe auch	Cover

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