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Nagy, Miklos; Vargas-Vera, Maria and Motta, Enrico
(2008).
DOI: https://doi.org/10.1007/978-3-540-85257-5_30
Abstract
Software agents that operate on the Semantic Web have to deal with scenarios where the discovery and combination of the relevant information from a variety of heterogeneous sources becomes contradicting. One such application area of the Semantic Web is ontology mapping where different similarities have to be combined into a more reliable and coherent view, which might easily become unreliable if trust is not managed effectively between the different sources. In this paper we propose a solution for managing trust between contradicting beliefs in similarities for ontology mapping based on the fuzzy voting model.
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About
- Item ORO ID
- 23490
- Item Type
- Conference or Workshop Item
- ISSN
- 1860-949X
- Extra Information
- Studies in Computational Intelligence Volume 162, 2008
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Copyright Holders
- © 2008 Springer-Verlag
- Depositing User
- Kay Dave