XIOF:Finding XIO for effective keyword search in XML documents

Xia Li, Zhanhuai Li, Peng Wang, Qun Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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 informationthese 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.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010
DOIs
StatePublished - 2010
Externally publishedYes
Event2nd International Workshop on Intelligent Systems and Applications, ISA2010 - Wuhan, China
Duration: 22 May 201023 May 2010

Publication series

NameProceedings - 2010 2nd International Workshop on Intelligent Systems and Applications, ISA 2010

Conference

Conference2nd International Workshop on Intelligent Systems and Applications, ISA2010
Country/TerritoryChina
CityWuhan
Period22/05/1023/05/10

Keywords

  • IR
  • Keyword search
  • Structured query
  • XIOF
  • XML

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