• DocumentCode
    2477585
  • Title

    XIOF: Finding XIO for Effective Keyword Search in XML Documents

  • Author

    Li, Xia ; Li, Zhanhuai ; Wang, Peng ; Chen, Qun

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2010
  • fDate
    22-23 May 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Keyword search has attracted a great deal of attention for retrieving XML data because it is a user-friendly mechanism. But Keyword search is hard to directly improve search quality because lots of keyword-matched nodes may not contribute to the results. XML includes rich semantic information these semantics are helpful to information retrieval process.This paper investigates the compelling problem of how to take advantage of XML semantics to improve keyword search quality. We design an XML keyword search approach, called XIOF, that can derive the keyword query and generate a set of effective structured queries by analyzing the given keyword query and the schemas of XML data sources. Furthermore, we provide an algorithm to computing the similarity score between two XIO. We have implemented our method on real datasets and the experimental results show that XIOF approach achieves both high recall and precise when compared with existing proposals.
  • Keywords
    XML; information retrieval; search engines; XIOF approach; XML data sources; XML documents; information retrieval process; keyword search quality; keyword-matched nodes; semantic information; Computer science; Data structures; Database languages; Electronic mail; Information retrieval; Keyword search; Proposals; Web sites; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5872-1
  • Electronic_ISBN
    978-1-4244-5874-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2010.5473249
  • Filename
    5473249