Mining medline for new possible relations of concepts

Authors:
Wei Huang;Yoshiteru Nakamori;Shouyang Wang;Tieju Ma
Affiliations:
School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan;Institute of Systems Science, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, China;School of Knowledge Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan
Venue:
CIS'04 Proceedings of the First international conference on Computational and Information Science
Year:
2004

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Abstract

Scientific bibliographies in online databases provide a rich source of information for scientists in support of their research. In this paper, we propose a new method to predict possible relations between a starting, known concept of interest and other concepts by mining scientific literature databases like Medline. The central novel feature of our method is to predict new relations based on finding brothers of middle concepts within the concept hierarchy. The method can help researchers explore new research directions from current scientific literature.