XSeek: A semantic XML search engine using keywords

Ziyang Liu, Jeffrey Walker, Yi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

48 Scopus citations

Abstract

We present XSeek, a keyword search engine that enables users to easily access XML data without the need of learning XPath or XQuery and studying possibly complex data schemas. XSeek addresses a challenge in XML keyword search that has been neglected in the literature: how to determine the desired return information, analogous to inferring a "return" clause in XQuery. To infer the search semantics, XSeek recognizes possible entities and attributes in the data, differentiates search predicates and return specifications in the keywords, and generates meaningful search results based on the analysis.

Original languageEnglish (US)
Title of host publication33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings
EditorsJohannes Gehrke, Christoph Koch, Minos Garofalakis, Karl Aberer, Carl-Christian Kanne, Erich J. Neuhold, Venkatesh Ganti, Wolfgang Klas, Chee-Yong Chan, Divesh Srivastava, Dana Florescu, Anand Deshpande
PublisherAssociation for Computing Machinery, Inc
Pages1330-1333
Number of pages4
ISBN (Electronic)9781595936493
StatePublished - 2007
Externally publishedYes
Event33rd International Conference on Very Large Data Bases, VLDB 2007 - Vienna, Austria
Duration: Sep 23 2007Sep 27 2007

Publication series

Name33rd International Conference on Very Large Data Bases, VLDB 2007 - Conference Proceedings

Other

Other33rd International Conference on Very Large Data Bases, VLDB 2007
CountryAustria
CityVienna
Period9/23/079/27/07

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Information Systems and Management
  • Information Systems
  • Software

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