Using a lexical dictionary and a folksonomy to automatically construct domain ontologies

Australasian Conference on Artificial Intelligence(2011)

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摘要
We present and evaluate MKBUILD , a tool for creating domain-specific ontologies. These ontologies, which we call Modular Knowledge Bases (MKBs), contain concepts and associations imported from existing large-scale knowledge resources, in particular WordNet and Wikipedia. The combination of WordNet's human-crafted taxonomy and Wikipedia's semantic associations between articles produces a highly connected resource. Our MKBs are used by a conversational agent operating in a small computational environment. We constructed several domains with our technique, and then conducted an evaluation by asking human subjects to rate the domain-relevance of the concepts included in each MKB on a 3-point scale. The proposed methodology achieved precision values between 71% and 88% and recall between 37% and 95% in the evaluation, depending on how the middle-score judgements are interpreted. The results are encouraging considering the cross-domain nature of the construction process and the difficulty of representing concepts as opposed to terms.
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关键词
domain ontology,conversational agent operating,lexical dictionary,large-scale knowledge resource,human subject,domain-specific ontology,construction process,modular knowledge bases,cross-domain nature,3-point scale,particular wordnet,human-crafted taxonomy
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