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Topic Analysis of Science and Technology Articles using CiteSeer Corpus  

Jung, Han-Min (KISTI 정보서비스연구팀)
Kang, In-Su (경성대학교 컴퓨터정보학부)
Sung, Won-Kyung (KISTI 정보서비스연구팀)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.14, no.5, 2008 , pp. 507-511 More about this Journal
Abstract
There have been enormous technological advances in science & technology domain and frequent convergences between its sub-domains. Topic analysis with science & technology corpus is a key process to grasp topic trends and relations between topics. The main objective of this research is to show various analytic approaches with topics extracted from CiteSeer corpus, which is widely used in information technology domain. This paper will also show a case study of Onto-Frame, an R&D support system developed by KISTI, to reveal the role of topics on the system.
Keywords
Science & Technology Articles; Topic Extraction; Topic Analysis; CiteSeer Corpus; OntoFrame;
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