• DocumentCode
    1902910
  • Title

    The Research on the Jena-based Web Page Ontology Extracting and Processing

  • Author

    Min, Wang ; Jianping, Ding ; Yang, Xiang ; Henxing, Xun

  • Author_Institution
    Sch. of Electron. Inf. & Eng., Tongji Univ., Shanghai
  • fYear
    2005
  • fDate
    27-29 Nov. 2005
  • Firstpage
    105
  • Lastpage
    105
  • Abstract
    There are many problems in the Web ontology extracting and processing, such as the ununified ontology languages, lacking of tools, and limited the tool´s plain functioned methods. To solve these problems, here we reported a new method which neglects the grammar difference of the existing ontology language and puts forward a Jena based Web page ontology extracting and processing method on the common RDF level of ontology. This method is composed of five parts: extracting the RDF model, setting operation of the different RDF Models, querying the RDF model, modifying the RDF model, and serialization of the RDF model. Finally the validity of the method is proved with a practical case.
  • Keywords
    ontologies (artificial intelligence); semantic Web; software engineering; Jena-based Web page ontology extraction; grammar difference; tool plain functioned method; ununified ontology language; Data mining; Microstrip; Natural languages; OWL; Ontologies; Resource description framework; Search engines; Semantic Web; Web pages; 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.2005.128
  • Filename
    4125893