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Nagy, Miklos; Vargas-Vera, Maria and Motta, Enrico
(2007).
URL: http://c4i.gmu.edu/ursw/2007/files/papers.html
Abstract
Mapping ontologies with high precision on the Semantic Web is a challenging problem that needs to be addressed in various domains. One of the main problems with any mapping process, which needs to be applied on different domains is that it always has a certain degree of uncertainty associated with it. In this paper we introduce a method based on Dempster-Shafer theory that use uncertain reasoning over the possible mappings in order to select the best possible mapping without using any heuristic or domain specific rules.
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- Item ORO ID
- 23576
- Item Type
- Conference or Workshop Item
- Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) - Research Group
- Centre for Research in Computing (CRC)
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- © 2007 The Authors
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- Kay Dave