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 :
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