• DocumentCode
    556411
  • Title

    Extracting module from OWL-DL ontology

  • Author

    Liang Zhang ; Kun Liu ; Xue Qin ; Shengqun Tang

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • Volume
    1
  • fYear
    2011
  • fDate
    22-23 Oct. 2011
  • Firstpage
    176
  • Lastpage
    179
  • Abstract
    The use of ontologies lies at the very heart of the newly emerging era of semantic web. As information on the web increases significantly in size, web ontologies also tend to grow bigger, to such an extent that they become too large to be used in their entirety by any single application. Moreover, because of the size of the original ontology, the process of maintenance, reuse, reasoning and integration becomes very computationally extensive. Accordingly, the research community is increasing its effort towards the specification of frameworks and techniques that may help in downsizing ontology. Modularization is one of the approaches to achieve such a result. In this paper, we propose an algorithm of module extraction based on user´s semantic query and realize it to a component of the framework for knowledge management system. Experiment shows that this approach is very useful in practice.
  • Keywords
    formal specification; knowledge management; knowledge representation languages; ontologies (artificial intelligence); query processing; semantic Web; OWL-DL ontology; Web ontology; framework specification; knowledge management system; modularization; module extraction; semantic Web; user semantic query; Databases; Electronic government; Navigation; Ontologies; Semantics; OWL-DL; module extraction; ontology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4577-0247-1
  • Type

    conf

  • DOI
    10.1109/ICSSEM.2011.6081176
  • Filename
    6081176