• DocumentCode
    1902377
  • Title

    Implementation and Application of Ontology Databases with User-Defined Rules (UDR) Supported

  • Author

    Zuling, Kang ; Hongbing, Wang

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing
  • fYear
    2005
  • fDate
    27-29 Nov. 2005
  • Firstpage
    82
  • Lastpage
    82
  • Abstract
    The ontology technology is developing into a foundation for many of new technologies recently. But the low performance to query or reason over large knowledge bases limits its application in practical fields. Ontology databases attempt to solve this problem by storing ontology in database tables and facilitating DBMS with rule-based ontology querying and reasoning ability. In this paper, we´ll discuss the features of ontology databases, the progress our work has made in this technology, the syntax of Ont-QL, the representation of ontology and UDR in relational databases, and the algorithm to perform rule-based query and judge. We will also present two examples to illustrate the application of ontology databases, and conclude our discussion by addressing its application perspective at last.
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); query processing; relational databases; large knowledge base; ontology database management system; problem solving; relational database; rule-based ontology querying; rule-based ontology reasoning; user-defined rule; Application software; Computer science; Data engineering; Database languages; Engines; OWL; Ontologies; Relational databases; Spatial databases; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, 2005. SKG '05. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2534-2
  • Electronic_ISBN
    0-7695-2534-2
  • Type

    conf

  • DOI
    10.1109/SKG.2005.81
  • Filename
    4125870