人工知能学会誌（1986～2013, Print ISSN:0912-8085）
キーワード抽出法KeyGraphの転用による地震履歴データからの要注意活断層発見支援(発見科学)
2000 年 15 巻 4 号 p. 665-672
詳細
2000 年 15 巻 4 号 p. 665-672
KeyGraph, an automatic document indexing method for extracting keywords expressing the assertions of a document, i. e. assertions supported by the outlines based on the basic concepts of the document, is applied to detecting risky active faults from earthquake history data. Here a history data is regarded as a document to be indexed, and active faults stressed strongly i. e. with near-future earthquake risks are obtained as keywords asserted in the document. This paper presents this method and its seismologic semantics. The semantics shows that KeyGraph is a model of earthquake occurrences, which considers less details of local land crust activities than in seismology, but more of global interactions among active faults. Experimentally, faults with near-future earthquake risks were obtained with high accuracies, and the shifts of risky areas after big earthquakes datected by KeyGraph corresponded with realistic tectonics.
