• DocumentCode
    2122453
  • Title

    An Approach to XML Tag Recommendation

  • Author

    Vacharaskunee, Sutheetutt ; Intakosum, Sarun

  • Author_Institution
    Dept. of Math. & Comput. Sci., King Mongkut´´s Inst. of Technol. Ladkraban, Bangkok, Thailand
  • fYear
    2011
  • fDate
    11-13 April 2011
  • Firstpage
    18
  • Lastpage
    23
  • Abstract
    The one strong point of XML is that it allows document owners to create their own structure and tag names. It might be that some XML documents contain the same information but use a different structure and/or tag names that have the same meaning but in different words. It will be difficult not only to search all relevant information in one query but also to use exchanged information right away. If the sender and receiver use different formats of XML, then either the sender or receiver has to reformat his XML. The best way to make searching and/or exchanging information easier is to ensure that all XML documents are in the same format. XML Tag Recommendation (XTR) is introduced to support this idea. XTR is based on case-based reasoning framework. It collects the most used tag name as a solution for future use. When you insert a new problem to XTR, it finds the most similar case and recommends the solution from that case to the XML document owner. The XML document owner can change his document format into the recommended solution format. Thus, the XML documents are in the same format. This makes searching and/or exchanging information more powerful.
  • Keywords
    XML; case-based reasoning; recommender systems; XML documents; XML tag recommendation; XTR; case-based reasoning framework; Adaptation models; Color; Image color analysis; Receivers; Semantics; Vehicles; XML; WordCount; WordNet; XML Path Matching; XML Tag Similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations (ITNG), 2011 Eighth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-61284-427-5
  • Electronic_ISBN
    978-0-7695-4367-3
  • Type

    conf

  • DOI
    10.1109/ITNG.2011.11
  • Filename
    5945201