作者: Ana B. Rios-Alvarado , Ivan Lopez-Arevalo , Victor Sosa-Sosa
DOI: 10.1007/978-3-642-28765-7_55
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摘要: The growth of unstructured information available inside organizations and on the Web has motivated building structures for represent manipulate such information. Particularly, an ontology provide a structural organizational knowledge to support exchange sharing. A crucial element within is taxonomy. For taxonomy, identification hypernymy/hyponymy relations between terms essential. Lexical patterns have been used in analysis text recovering hypernyms. In addition, as source collective it seems good option finding appropriate This paper describes approach get hypernymy belonging specific domain knowledge. combines WordNet synsets context extended query set. set sent web search engine order retrieve most representative hypernym term.