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The FORA Framework [electronic resource] : A Fuzzy Grassroots Ontology for Online Reputation Management / by Edy Portmann.

By: Portmann, Edy [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Fuzzy Management Methods: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XXVI, 202 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642332333.Subject(s): Business | Marketing | Industrial management | Information storage and retrieval | User interfaces (Computer systems) | Artificial intelligence | Computational intelligence | Business and Management | Media Management | Marketing | Information Storage and Retrieval | User Interfaces and Human Computer Interaction | Computational Intelligence | Artificial Intelligence (incl. Robotics)Additional physical formats: Printed edition:: No titleDDC classification: 658 Online resources: Click here to access online
Contents:
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.  .
In: Springer eBooksSummary: 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.
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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.  .

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.

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