Abstract
Construction of a huge scale ontology covering many named entities, domain-specific terms and relations among these concepts is one of the essential technologies in the next generation Web based on semantics. Recently, a number of studies have proposed automated ontology construction methods using the wide coverage of concepts in Wikipedia. However, since they tried to extract formal relations such as is-a and a-part-of relations, generated ontologies have only a narrow coverage of the relations among concepts. In this work, we aim at automated ontology construction with a wide coverage of both concepts and these relations by combining information on the Web with Wikipedia. We propose a relation extraction method which receives pairs of co-related concepts from an association thesaurus extracted from Wikipedia and extracts their relations from the Web.
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Shirakawa, M., Nakayama, K., Aramaki, E., Hara, T., Nishio, S. (2010). Relation Extraction between Related Concepts by Combining Wikipedia and Web Information for Japanese Language. In: Cheng, PJ., Kan, MY., Lam, W., Nakov, P. (eds) Information Retrieval Technology. AIRS 2010. Lecture Notes in Computer Science, vol 6458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17187-1_30
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DOI: https://doi.org/10.1007/978-3-642-17187-1_30
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