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

Portmann, Edy (2013). The FORA Framework - A Fuzzy Grassroots Ontology for Online Reputation Management [Textbook] . Fuzzy management methods. Heidelberg: Springer 10.1007/978-3-642-33233-3

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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. ​

Item Type:

Book (Textbook)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Portmann, Edy

Subjects:

000 Computer science, knowledge & systems
300 Social sciences, sociology & anthropology
600 Technology > 650 Management & public relations

ISSN:

2196-4130

ISBN:

978-3-642-33232-6

Series:

Fuzzy management methods

Publisher:

Springer

Projects:

[388] Knowledge Aggregation, Representation and Reasoning

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

17 Apr 2014 17:04

Last Modified:

02 Nov 2015 09:18

Publisher DOI:

10.1007/978-3-642-33233-3

URI:

https://boris.unibe.ch/id/eprint/45569

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