DocumentCode
2632571
Title
Toward Ontology-Driven Omics Data Integration in Current Database Management Systems
Author
Springer, John ; Chen, Jake Y.
Author_Institution
Dept. of Comput. & Inf. Technol., Purdue Univ., West Lafayette, IN, USA
fYear
2009
fDate
19-21 Aug. 2009
Firstpage
292
Lastpage
297
Abstract
To fully realize the benefit of ontology-driven ¿Omics¿ data integration, it is essential that database management systems (DBMSs) provide persistent storage and efficient concurrent access in a manner that leverages the emerging Semantic Web technologies. In this paper, we explore the current capabilities of existing DBMSs, such as Oracle´s database server, to meet the needs generated by the Semantic Web technologies. Our primary consideration is the new features provided by existing DBMSs to incorporate RDF, OWL, and SPARQL. We present a framework for this evaluation and lay the groundwork for subsequent benchmarking of the semantic-enabled DBMSs.
Keywords
database management systems; ontologies (artificial intelligence); semantic Web; Oracle database server; database management system; ontology-driven Omics data integration; semantic Web technology; Bioinformatics; Database systems; Genomics; OWL; Ontologies; Proteins; Proteomics; Resource description framework; Semantic Web; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Network-Based Information Systems, 2009. NBIS '09. International Conference on
Conference_Location
Indianapolis, IN
Print_ISBN
978-1-4244-4746-6
Electronic_ISBN
978-0-7695-3767-2
Type
conf
DOI
10.1109/NBiS.2009.80
Filename
5349913
Link To Document