Ontology-based Biomedical Literature Management for Competitive Analysis

Biomedicine becomes a strategic growing field with its profound impact on human health, clinical therapy, and basic research. To track activities of the rapidly developing and drastically competitive field, scientists must keep up-to-date with all relevant literatures. In this paper, we attempt to manage biomedical literatures based on ontology which is employed to add semantics and brace knowledge network. Biomedical literatures are collected and populated as the instances of the constructed ontology. Our proposed method is able to support competitive analysis by searching biomedical discoveries semantically and tracking domain activities statistically. The experiments performed on 15,433,668 MEDLINE records yield evidence for the feasibility and validity of our method.