Mining Medline for New Possible Relations of Concepts

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.

• Type: Conference
• Year: 2004
• Where: CIS
• Authors: Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Tieju Ma
• Keywords: CIS 2004, Scientific Bibliographies, Scientific Literature, Scientific Literature Databases