Efficient Exploration of Biological Data Using Semantic Web Compatible Databases

Abstract

There are over 1600 publicly available biological databases, and this number is growing at a steady rate. These databases are not in a uniform format, however, web-based technologies can be employed to integrate them. One of the key steps in enabling semantic web techniques is to convert these databases into a uniform format, for example, that of the Resource Description Framework (RDF). There are already several biological databases available in RDF format. However, some of the major databases are only found in custom formats. In this paper, we review the methods that are available to explore biological databases in RDF format. We also review current projects that facilitate the conversion of biological data into RDF format. We will identify the strengths and weaknesses of the current exploratory methods and suggest improvements that will enable both novice and expert users to search biological databases more effectively.