著者

松尾 利行 西田 豊明 星本 健一

出版者

社団法人人工知能学会

雑誌

人工知能学会誌 (ISSN:09128085)

巻号頁・発行日

vol.12, no.1, pp.68-77, 1997-01-01

被引用文献数

3

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In this paper, we describe a practical method of extracting, structuring, summarizing, and integrating technical information from technical papers in metallurgy. The heart of the method is packets of domain specific knowledge called KP (Knowledge Pieces) in which procedures for extracting and structuring technical information from technical papers are embedded. We studied information structure of ten technical papers in metallurgy and constructed about a hundred KPs. We implemented a system called METIS which takes technical papers in metallurgy encoded in a mark-up language and produces a varieties of summaries and surveys including structured technical summary, visual display of similarites and differences of relevant papers, and Cause-effect relations. We have undertaken qualitative and quantitative evaluation of METIS against 106 technical papers so far. The evaluation demonstrates the reliability and robustness of our method.