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
Full text not available from this repository. (Request a copy)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: |
05 Dec 2022 14:30 |
Publisher DOI: |
10.1007/978-3-642-39739-4_5 |
URI: |
https://boris.unibe.ch/id/eprint/45568 |
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