Colloquia Archive
Integrating Biological Data with Ontologies
March 28, 2008
Abstract
In recent years there has been a substantial increase in the number of biomedical ontologies and data sets mapped to them. Biologists are looking for systems that with enable them to (1) explore, query, and analyze biological information and (2) integrate/correlate biological information that have been mapped to ontologies. Dr Gupta's research focuses on the development of techniques and tools that facilitate both requirements. To this end Dr. Gupta and his colleagues are developing an ontological data management system called OntoQuest, which has a SPARQL-like query language called OntoQueL to query one or more ontologies. OntoQuest also has a data integration module that can access a wide variety of data sources. In this talk Dr. Gupta will illustrate how brain atlases, imaging information, and biological pathways can be integrated through our ontological data integration framework. Finally, he will describe some open issues in data integration.
BiographyAmarnath Gupta is an Associate Research Scientist at the San Diego Supercomputer Center (SDSC) of the University of California San Diego. He leads the Advanced Query Processing Laboratory in the Data and Knowledge Systems group at SDSC. His research interests include scientific data modeling, information integration, multimedia databases, and spatiotemporal data management. Amarnath received his Bachelor of Technology from the Indian Institute of Technology, Kharagpur, a Master of Science in Biomedical Engineering from University of Texas, Arlington, and his Ph.D. (Engineering) degree in Computer Science from Jadavpur University, India.
