Title :
Multiagent Ontology Mapping Framework for the Semantic Web
Author :
Nagy, Miklos ; Vargas-Vera, Maria
Author_Institution :
Open Univ., Milton Keynes, UK
fDate :
7/1/2011 12:00:00 AM
Abstract :
Ontology mapping is a prerequisite for achieving heterogeneous data integration on the Semantic Web. The vision of the Semantic Web implies that a large number of ontologies present on the web need to be aligned before one can make use of them, for example, a question answering on the Semantic Web. At the same time, these ontologies can be used as domain-specific background knowledge by the ontology mapping systems to increase the mapping precision. However, these ontologies can differ in representation, quality, and size that pose different challenges to ontology mapping. In this paper, we analyze these challenges and introduce a multiagent ontology mapping framework that has been designed to operate effectively in the Semantic Web environment.
Keywords :
multi-agent systems; ontologies (artificial intelligence); semantic Web; heterogeneous data integration; multiagent ontology mapping framework; semantic Web; Context; Decision support systems; Humans; OWL; Ontologies; Semantics; Multiagent systems; Semantic Web; ontology mapping; uncertain reasoning;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2011.2132704