Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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A Study on Extracting Ideas from Documents and Webpages in the Field of Idea Mining

아이디어 마이닝 분야에서 문헌과 웹페이지의 아이디어 발췌에 대한 연구

  • Lee, Tae-Young (library & information science dept. of chonbuk national university)
  • Received : 2011.12.30
  • Accepted : 2012.01.31
  • Published : 2012.03.30
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Abstract

The ideas and quasi-ideas useful for human's creation were drawn out from documents and webpages with extraction methods used in idea mining, opinion mining, and topic signal mining. The extraction methods comprised (1) decisive cue phrases, (2) cue figures and sounds, (3) contextual signals, and (4) discourse segmentations, They tested on the idea samples, such as thoughts, plans, opinions, writings, figures, sounds, and formulas. Methods (1), (3), and (4) received largely positive evaluation, judging the efficiency of 4 methods by F measure, a mixture of recall and precision ratio. In particular, decisive cue phrase method was effective to search idea and contextual signal method was effective to detect quasi-idea.

일반적인 문헌/문서나 웹페이지에서 창조에 도움이 되는 아이디어와 준아이디어를 색출하기 위하여 아이디어 마이닝 기법을 적용하였다. 아이디어 마이닝과 의견 마이닝 및 논제 신호 마이닝에서 사용하는 발췌 기법으로 웹 페이지, 문헌, 문서 등에 포함되어 있는 아이디어를 발췌하였다. 발췌 기법을 (1) 결정적 단서 어구, (2) 단서 멀티미디어, (3) 문맥 신호, 및 (4) 담화 구절 방법으로 정리하여 7가지 아이디어 유형 -사상, 계획, 의견, 글, 그림, 소리, 공식 별로 실험하였다. 각 기법들의 효율성은 재현율과 정확률을 혼합한 F 측정값으로 판단하였고 (1), (3), (4) 방법은 대체로 긍정적인 평가를 얻었다. 특히, 결정적 단서 어구는 아이디어 적출에 문맥 신호는 준아이디어 추출에 효과적인 것으로 판단되었다.

Keywords

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