• 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