Scopus - Web Semantics: Aggregation of bioinformatics data using Semantic Web technology


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Web Semantics
Volume 4, Issue 3, September 2006, Pages 216-221

Cited By since 1996

This article has been cited 2 times in Scopus:

Quan, D.
Improving life sciences information retrieval using semantic web technology
(2007) Briefings in Bioinformatics

Goble, C. , Corcho, O. , Alper, P.
E-Science and the Semantic Web: A symbiotic relationship
(2006) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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DOI: 10.1016/j.websem.2006.05.004
Document Type: Article

View references (22)

Aggregation of bioinformatics data using Semantic Web technology

Stephens, S.^a , LaVigna, D.^b , DiLascio, M.^b , Luciano, J.^c

^aOracle, 10 Van de Graaff Drive, Burlington, MA 01803, United States
^bSiderean Software, Inc., 390 North Sepulvada Boulevard, El Segundo, CA 90245-4475, United States
^cHarvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, United States

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. © 2006 Elsevier B.V. All rights reserved.

Author Keywords

Bioinformatics; Data aggregation; Faceted browsing; Oracle RDF Data Model; Semantic Web

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