• DocumentCode
    3305819
  • Title

    An Automatic Semantic Extraction Algorithm for XML Document

  • Author

    Yang, Yong-qiang ; Dai, Mu-hong ; Chen, Hao

  • Author_Institution
    Software Coll., Hunan Univ., Changsha, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    Semantic Web organizes voluminous data on Internet in a machine-understandable manner, which satisfies the continuously increasing requirements on data interoperation. In the context of Semantic Web, Ontology and RDF statements are widely used as a standard to describe semantic information of data. However, currently most of the web applications employ XML as a data media. XML can only describe the structure of the data, rather than the meaning of the data. Thus, it is critical to turn XML into RDF statements which can be understood by Semantic Web. This paper proposes an approach for automatic ontology extraction and transformation from XML to RDF via XML Schema, namely, automatic XML semantic extraction. Meanwhile, it illustrates how to use the algorithm by an example in the field of Mobile Data Exchange. The result of the experiment shows that this approach is well fit for most of XML data on the current web.
  • Keywords
    Data mining; Humans; Internet; Machine vision; Man machine systems; Ontologies; Resource description framework; Semantic Web; Web pages; XML; RDF; XML; XML Schema; ontology; semantic web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.82
  • Filename
    5532626