• DocumentCode
    3174627
  • Title

    XML Document Recommendation by Using Case Based Reasoning

  • Author

    Vacharaskunee, Sutheetutt ; Intakosum, Sarun

  • Author_Institution
    Dept. of Math. & Comput. Sci., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
  • fYear
    2010
  • fDate
    9-11 June 2010
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    Case Based Reasoning (CBR) is the process of solving new problem based on the solutions of similar previous problems. XML is a markup language that allows document owners describe their data in their own formats. There might be the same information has been described in various ways. This makes searching those information from different formats difficult. CXDR (CBR for XML Document Recommendation) is an idea to make searching XML documents easier. CXDR applies CBR framework to collect the mostly use XML document and recommend it to its user. CBR in CXDR consists of two parts, cases and knowledge. The case is XML documents and the knowledge is an XML document recommendation. The recommendation from CXDR is the most use XML element names and structure.
  • Keywords
    XML; case-based reasoning; WordNet; XML document recommendation; XML element names; case based reasoning; markup language; Artificial intelligence; Database languages; Distributed computing; Information retrieval; Keyword search; Markup languages; Software engineering; Software systems; Systems engineering and theory; XML; CBR; WordCount; WordNet; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), 2010 11th ACIS International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-7422-6
  • Electronic_ISBN
    978-1-4244-7421-9
  • Type

    conf

  • DOI
    10.1109/SNPD.2010.29
  • Filename
    5521512