Biomedical Application of Knowledge Discovery

Abstract

With rapid progress in biomedical fields, the knowledge accumulated inscientific papers has increased significantly. Most of these papers drawonly a fragmental conclusion from the viewpoint of scientific facts, sodiscovery of hidden knowledge or hypothesis generation by leveragingthis fragmental information has come into the limelight and moreexpectations on the system constructions to assist them has been paid.To respond to these expectations, we have developed a system calledBioTermNet (http://btn.ontology.ims.u-tokyo.ac.jp:8081/) to make aconceptual network by connecting conceptual relationships (fragmentalinformation) explicitly described in papers and explore the hiddenrelationships in the conceptual network. The conceptual relationshipsare extracted by hybrid methods of information extraction andinformation-retrieval techniques. This system has a potential for wideapplication. After the validation of system performance, we take up sometopics of conceptual network-based analysis and refer to otherapplications in the future prospects section.