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On Configuration of Multi-Parameter and Reasoning for Ontology Mapping

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The existing ontology mapping methods simply depend on the grammar and measure of the structure similarity, and do not provide the form of semantic and knowledge reasoning on the map structures, which makes the recalled rate of the mapping relation low and can't use the underlying associated semantics among the ontology factors. The paper proposed the ontology mapping framework based on the intension and extension of the concept, and aimed at the concept name, the context information, semantic interpretation, the information of the concept description, the constraint of the concept attributes and other multidimensional information to propose the configurable value allocation method and give the relation of the ontology mapping by the complex calculation, using the iteration of the manually configuration, and finally get the automatically value allocation plan, which is superior to manually configure; furthermore, the paper achieved the automated reasoning based on the rules in the process of ontology mapping, and effectively increase the recalled rate of the mapping relationship. The result of experiment, which has tested example set Benchmark provided by OAEI 2009 shows that the proposed method has performance advantage in the situation that the mapping ontology loses part of the characteristics.
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Keywords: MAPPING; ONTOLOGY; REASONING; WEIGHT VALUE

Document Type: Research Article

Publication date: January 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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