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

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Fuzzy Cognitive Maps for Applied Sciences and Engineering

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 54))

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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Notes

  1. 1.

    http://www.w3.org/RDF/

  2. 2.

    http://www.w3.org/TR/rdf-schema/

  3. 3.

    http://www.foaf-project.org/

  4. 4.

    http://www.isotopicmaps.org/sam/sam-xtm//

  5. 5.

    http://www.w3.org/TR/daml+oil-reference

  6. 6.

    http://www.w3.org/TR/owl2-primer/

  7. 7.

    http://www.daml.org/crawler/

  8. 8.

    http://ontobroker.semanticweb.org/rdfcrawl/index.html

  9. 9.

    http://code.google.com/p/slug-semweb-crawler/

  10. 10.

    http://www.mindswap.org/~golbeck/downloads/ocra.shtml

  11. 11.

    http://eulersharp.sourceforge.net/2003/03swap/eye-note.txt

  12. 12.

    http://jena.apache.org/

  13. 13.

    http://www.opencyc.org/

  14. 14.

    http://pyke.sourceforge.net/index.html

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Acknowledgments

We are grateful to our colleagues Lotfi A. Zadeh and Sergio Guadarrama for their valuable thoughts. Under grant number PBFRP2-138628, the Swiss National Science Foundation supported preparations of this chapter.

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Authors and Affiliations

  1. Department of EECS, University of California, Berkeley, CA, USA

    Edy Portmann

  2. Department of ECE, University of Alberta, Edmonton, Canada

    Witold Pedrycz

  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Witold Pedrycz

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  1. Edy Portmann
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Correspondence to Edy Portmann .

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Editors and Affiliations

  1. Department of Computer Engineering, Technological Educational Institute of Central Greece, Lamia, Greece

    Elpiniki I. Papageorgiou

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Portmann, E., Pedrycz, W. (2014). Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management. In: Papageorgiou, E. (eds) Fuzzy Cognitive Maps for Applied Sciences and Engineering. Intelligent Systems Reference Library, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39739-4_5

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

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  • Online ISBN: 978-3-642-39739-4

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