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2000

Domain-Specific Knowledge Acquisition and Classification Using WordNet

8 years 11 months ago
Domain-Specific Knowledge Acquisition and Classification Using WordNet
For manyknowledgeintensive applications, it is necessary to have extensive domain-specific knowledgein addition to general-purpose knowledge bases usually built around MachineReadable Dictionaries. This paper presents a methodology for acquiring domainspecific knowledge from text and classifying the concepts learned into an ontology that extends WordNet. The methodwastested for three seed concepts selected fromthe financial domain:interest rate, stock market, andinflation. Queries wereformed with each of these concepts and a small corpus of 500sentences wasextracted automatically from the Internet for each concept. Thesystem learned a total of 151 newconcepts and 69 new relations. Domain Knowledge The knowledge is infinite and no matter howlarge a knowledgebase becomes, it is not possible to store all the concepts and procedures for all domains. Even if that was possible, the knowledgeis generative and there are no guarantees that a system will have the latest information all the time...
Dan I. Moldovan, Roxana Girju
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where FLAIRS
Authors Dan I. Moldovan, Roxana Girju
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