• DocumentCode
    3140558
  • Title

    Querying Heterogeneous Relational Database using SPARQL

  • Author

    Wang, Jinpeng ; Miao, Zhuang ; Zhang, Yafei ; Zhou, Bo

  • Author_Institution
    Inst. of Command Autom., PLA Univ. of Sci. & Technol., Nanjing, China
  • fYear
    2009
  • fDate
    1-3 June 2009
  • Firstpage
    475
  • Lastpage
    480
  • Abstract
    The emergence of the semantic Web has given rise to several researches on semantic integration of heterogeneous relational databases using ontology. This paper studies the query rewriting problem in such an integration scenario. RDFpsilas graph model lends itself well to expressing relational data. To model the relational schema, we propose a data source describing method based on SPARQL graph patterns and give some principles for semantic mapping between relational schema and RDF ontology. The semantic of query rewriting is further discussed and a query rewriting algorithm is presented so that SPARQL can access heterogeneous relational databases without converting the data into physical triples.
  • Keywords
    SQL; distributed databases; graph theory; ontologies (artificial intelligence); query processing; relational databases; semantic Web; RDF graph model; SPARQL graph pattern; data integration; heterogeneous relational database querying; ontology; query rewriting problem; semantic Web; semantic mapping; Automation; Database languages; Engines; Information resources; Information science; Ontologies; Programmable logic arrays; Relational databases; Resource description framework; Semantic Web; Data Integration; Query rewriting; SPARQL;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3641-5
  • Type

    conf

  • DOI
    10.1109/ICIS.2009.11
  • Filename
    5222936