BioPatentMiner: An Information Retrieval System for BioMedical Patents Sougata Mukherjea and Bhuvan Bamba   View Paper (PDF)   Return to INDUSTRIAL SESSION 3: SEMANTIC QUERY APPROACHES Abstract Before undertaking new biomedical research, identifying concepts that have already been patented is essential. Traditional keyword based search on patent databases may not be sufficient to retrieve all the relevant information, especially for the biomedical domain. More sophisticated retrieval techniques are required. This paper presents BioPatentMiner, a system that facilitates information retrieval from biomedical patents. It integrates information from the patents with knowledge from biomedical ontologies to create a Semantic Web. Besides keyword search and queries linking the properties specified by one or more RDF triples, the system can discover Semantic Associations between the resources. The system also determines the importance of the resources to rank the results of a search and prevent information overload while determining the Semantic Associations. ©2005 Association for Computing Machinery