Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management

Portmann, Edy; Pedrycz, Witold (2014). Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management. In: Papageorgiou, Elpiniki I. (ed.) Fuzzy Cognitive Maps for Applied Sciences and Engineering – From Fundamentals to Extensions and Learning Algorithms. Intelligent systems reference library: Vol. 54 (pp. 89-105). Springer 10.1007/978-3-642-39739-4_5

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A social Semantic Web empowers its users to have access to collective Web knowledge in a simple manner, and for that reason, controlling online privacy and reputation becomes increasingly important, and must be taken seriously. This chapter presents Fuzzy Cognitive Maps (FCM) as a vehicle for Web knowledge aggregation, representation, and reasoning. With this in mind, a conceptual framework for Web knowledge aggregation, representation, and reasoning is introduced along with a use case, in which the importance of investigative searching for online privacy and reputation is highlighted. Thereby it is demonstrated how a user can establish a positive online presence.

Item Type:

Book Section (Book Chapter)

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:

600 Technology > 650 Management & public relations

ISBN:

978-3-642-39739-4

Series:

Intelligent systems reference library

Publisher:

Springer

Projects:

[388] Knowledge Aggregation, Representation and Reasoning

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

10 Apr 2014 10:03

Last Modified:

02 Nov 2015 09:09

Publisher DOI:

10.1007/978-3-642-39739-4_5

URI:

https://boris.unibe.ch/id/eprint/45568

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