Publication Type:
Conference PaperSource:
LNCS, Springer Verlag, Volume 4825, Berlin, Heidelberg, p.925-929 (2007)URL:
http://iswc2007.semanticweb.org/papers/925.pdfKeywords:
2007; activation; approach; doctoral\_consortium; information; interactive; iswc; network; ontology; retrievalAbstract:
The World Wide Web (WWW) now is widely used as a universal medium for information exchange. Semantic interoperability among different information systems in the WWW is limited due to information heterogeneity problem. Ontologies have been suggested as a way to solve this problem. Given that no universal ontology exists for the WWW, work has focused on finding semantic correspondences between similar elements of different ontologies, i.e., ontology mapping. Ontology mapping can be done either by hand or using automated tools. Manual mapping becomes impractical as the size and complexity of ontologies increases. Fully or semi-automated mapping approaches have been examined by different research studies, e.g., analyzing linguistic information of elements in ontologies, treating ontologies as structural graphs, applying heuristic rules to look for specific mapping patterns and machine learning techniques. This paper proposes a new generic and scalable ontology mapping approach, which takes advantage of propagation theory, information retrieval technique and artificial intelligence model to solve ontology mapping problem. The major procedures of the proposed approach are profile enrichment, profile propagation, IR-based profile mapping and the interactive activation network based constraints satisfaction. The profile enrichment builds a profile for each element in the ontologies, and thus enriches its information. The profile propagation exploits the neighboring information of each element by passing the profile of the ancestors, descendants or siblings of the element to the profile of itself, with different weights. The IR-based profile mapping process compares the cosine similarity of elements? profiles in a vector space model. Finally the interactive activation network is integrated to deal with the constraints satisfaction problems in the context of ontology mapping.
