Aggregation of bioinformatics data using Semantic Web technology

Authors:
Susie Stephens;David LaVigna;Mike DiLascio;Joanne Luciano
Affiliations:
Oracle, 10 Van de Graaff Drive, Burlington, MA 01803, USA;Siderean Software, Inc., 390 North Sepulvada Boulevard, Suite 2070, El Segundo, CA 90245-4475, USA;Siderean Software, Inc., 390 North Sepulvada Boulevard, Suite 2070, El Segundo, CA 90245-4475, USA;Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
Venue:
Web Semantics: Science, Services and Agents on the World Wide Web
Year:
2006

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Abstract

The integration of disparate biomedical data continues to be a challenge for drug discovery efforts. Semantic Web technologies provide the capability to more easily aggregate data and thus can be utilized to improve the efficiency of drug discovery. We describe an implementation of a Semantic Web infrastructure that utilizes the scalable Oracle Resource Description Framework (RDF) Data Model as the repository and Seamark Navigator for browsing and searching the data. The paper presents a use case that identifies gene biomarkers of interest and uses the Semantic Web infrastructure to annotate the data.