• DocumentCode
    2836896
  • Title

    View-based Storage-Independent Model for SPARQL-to-SQL Translation Algorithms in Semantic Grid Environment

  • Author

    Dongwon Jeong ; Jiseong Son ; Doo-kwon Baik ; Yang, L.T.

  • Author_Institution
    Dept. of Inf. & Stat., Kunsan Nat. Univ., Kunsan
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    381
  • Lastpage
    386
  • Abstract
    The metadata in the Semantic Grid are described using the technologies of the Semantic Web, such as OWL (OWL Web Ontology Language), and SPARQL has been recommended by W3C. And most metadata including actual data are stored in relational databases. Under such a situation, the necessity of SPARQL-to-SQL translation algorithm development becomes issued for seamless data access to the Semantic Grid data. Even though several translation algorithms have been proposed, there still remain the following problems, and especially these algorithms are dependent on a specific storage model. Hence, when we try to use one of other storages not the original, much cost is required to modify and verify the translation algorithm. In this paper, we propose a new system model to independently use an algorithm upon storage structures. The system model guarantees independency between translation algorithms and storages, and thus it improves application and usability of translation algorithms.
  • Keywords
    SQL; grid computing; ontologies (artificial intelligence); semantic Web; SPARQL-to-SQL translation algorithm; relational databases; semantic Web; semantic grid; view-based storage-independent model; Computational modeling; Inference algorithms; OWL; Ontologies; Relational databases; Resource description format; Semantic web; Independency; Relational view; SPARQL; SQL; Semantic grid; Translation; Web ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering Workshops, 2008. CSEWORKSHOPS '08. 11th IEEE International Conference on
  • Conference_Location
    San Paulo
  • Print_ISBN
    978-0-7695-3257-8
  • Type

    conf

  • DOI
    10.1109/CSEW.2008.72
  • Filename
    4625091