Acquiring Semantic Relations Using the Web for Constructing Lightweight Ontologies
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Data Integration with the DaltOn Framework --- A Case Study
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
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ACM Computing Surveys (CSUR)
Automatic Topic Ontology Construction Using Semantic Relations from WordNet and Wikipedia
International Journal of Intelligent Information Technologies
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Recently, the importance of semantics on the WWW is widely recognized and a lot of semantic information (RDF, OWL etc.) is being built/published on the WWW. However, the lack of ontology mappings becomes a serious problem for the Semantic Web since it needs well defined relations to retrieve information correctly by inferring the meaning of information. One to one mapping is not an efficient method due to the nature of distributed environment. Therefore, it would be a considerable method to map the concepts by using a large-scale intermediate ontology. On the other hand, Wikipedia is a large-scale of concept network covering almost all concepts in the real world. In this paper, we propose an intermediate ontology construction method using Wikipedia Thesaurus, an association thesaurus extracted from Wikipedia. Since Wikipedia Thesaurus provides associated concepts without explicit relation type, we propose an approach of concept mapping using two sub methods; “name mapping” and “logic-based mapping”.