• DocumentCode
    3422223
  • Title

    CQET. An Triple Facts-Based Query Engine for Processing the Ontologies

  • Author

    Kong, Hyunjang ; Hwang, Myunggwon ; Kim, Pankoo

  • Author_Institution
    Dept. of Comput. Eng., Chosun Univ., Gwangju
  • fYear
    2006
  • fDate
    25-28 Sept. 2006
  • Firstpage
    41
  • Lastpage
    48
  • Abstract
    Many studies about the query languages and inference engines for processing the ontologies have been proposed. The basic ontology query languages are the RQL, RDQL, SPARQL, OWLQL, etc., and the significant inference engines are the Jena, Sesame, Jess, JTP, and so on. However, they have some limitations to process the ontologies completely. In this study, we suggest the new query engine for processing the ontologies and our approach is based on the triple facts gained through preprocessing the ontologies based on the inference rules. Our system can process the RDF(S) ontologies as well as OWL ontologies and it includes the inference function. For achieving our approach, we newly design the controlled query interface to process the triple format files. At the result, we realized that our system is very useful for processing the ontologies
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); query languages; CQET; JTP; Jena; Jess; OWL ontology; OWLQL; RDQL; RQL; SPARQL; Sesame; facts-based query engine; inference engines; ontology query languages; query interface; triple format files; Control systems; Database languages; Database systems; Engines; Microstrip; OWL; Ontologies; Relational databases; Resource description framework; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Web Services Practices, 2006. NWeSP 2006. International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    0-7695-2664-0
  • Type

    conf

  • DOI
    10.1109/NWESP.2006.12
  • Filename
    4090003