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Erschienen in:
Methods and Algorithms for Fuzzy Cognitive Map-based Modeling Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

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

verfasst von : Edy Portmann, Witold Pedrycz

Erschienen in: Fuzzy Cognitive Maps for Applied Sciences and Engineering

Verlag: Springer Berlin Heidelberg

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Abstract

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

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Vorheriges Kapitel Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps
Nächstes Kapitel Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education
Fußnoten
4
http://www.isotopicmaps.org/sam/sam-xtm//
 
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Metadaten
Titel
Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management
verfasst von
Edy Portmann
Witold Pedrycz
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Fuzzy Cognitive Maps for Applied Sciences and Engineering

Print ISBN: 978-3-642-39738-7

Electronic ISBN: 978-3-642-39739-4

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-39739-4_5