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The FORA Framework

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The FORA Framework Synopsis

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. ?

About This Edition

ISBN: 9783642429484
Publication date: 29th January 2015
Author: Edy Portmann
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 202 pages
Series: Fuzzy Management Methods
Genres: Sales and marketing
Data warehousing
Information retrieval
Artificial intelligence
Human–computer interaction