Developing Trends in Bio-medical Search Engines

Abstract: Complete access to the existing pool of biomedical literature and the ability to “hit” upon the exact information of the relevant specialty are becoming essential elements of academic and clinical expertise. With the rapid expansion of the literature database, it is almost impossible to keep up to date with every innovation. Hence a review about the state-of-art technologies in bio-medical search engines has been presented. The paper provides a brief summary about the developments so far in factors like technologies used, methodologies implemented, and the new features these search engines provide. The paper also gives us a clear picture about the commercially available products and the possible future scope in this area.

Keywords: Oncology graph, Semantic similarity, Google AJAX, Predicate based Vector Space Model