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基于WordNet和聚焦爬虫的半自动领域本体构建 被引量:2

Semi-automatic domain ontology construction based on WordNet and focused crawler
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摘要 传统的手工构建本体是一项费时费力的工作,对比和借鉴了国内外本体自动获取的方法和思路,提出了基于WordNet和聚焦爬虫的半自动领域本体构建方法,以WordNet为中心,聚焦爬虫为辅助,通过计算概念之间相似度,构建本体,实验结果表明,该方法可以有效地快速构建领域本体,还可用于扩展本体。 Traditional ontology constructing was criticized because of its high costs and time-consumption.The domestic and foreign automatic ontology construction methods were contrasted and profited.A semi-automatic domain ontology construction method based on WordNet and focused crawler was proposed.WordNet as the kernel,focused crawler for auxiliary,concept similarity was calculated,domain ontology could be constructed.The experiment shows that in this way domain ontology can be built semi-automatically and quickly,and continually ontology can be expanded.
出处 《计算机应用》 CSCD 北大核心 2008年第S2期67-70,共4页 journal of Computer Applications
基金 上海市国际科技合作基金资助项目(065107042)
关键词 本体 WORDNET 聚焦爬虫 概念相似度 ontology WordNet focused crawler semantic similarity
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  • 1KHAN L,LUO F.Ontology construction for information selection. ICTAI 2002:Proceedings of 14th IEEE International Con-ference on Tools with Artificial Intelligence . 2002
  • 2WILLIAMS A B,TSATSOULIS C.An instance-based approach foridentifying candidate ontology relations within a multi-Agent system. Proceedings of14th European Conference on Artificial Intel-ligence . 2000
  • 3LIN DE-KANG.An information-theoretic definition of similarity. Proceedings of the 15th International Conference on MachineLearning . 1998
  • 4RESNIKP.Using information content to evaluate semantic similarity. Proceedings of the 14th International Joint Conference on Ar-tificial Intelligence . 1995
  • 5RUBENSTEINH,GOODENOUGHJ B.Contextual correlates of synon-ymy. Communications of the ACM . 1965
  • 6Alani,H.,Kim,S.,Millard,D.E.,Weal,M.J.,Hall,W.,Lewis,P.H.,Shadbolt,N.R.Automatic ontology-based knowledge extraction from web documents. IEEE Intelligent Systems . 2003
  • 7Musen M,Noy N,O’Connor M,et al.Stanford Center forBiomedical Informatics Research. http://pro-tege.stanford.edu/ . 2008

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