Query biased snippet generation in XML search

Yu Huang, Ziyang Liu, Yi Chen

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

74 Scopus citations

Abstract

Snippets are used by almost every text search engine to complement ranking scheme in order to effectively handle user searches, which are inherently ambiguous and whose relevance semantics are difficult to assess. Despite the fact that XML is a standard representation format of web data, research on generating result snippets for XML search remains untouched. In this paper we present a system, eXtract, which addresses this important yet open problem. We identify that a good XML result snippet should be a self-contained meaningful information unit of a small size that effectively summarizes this query result and differentiates it from others, according to which users can quickly assess the relevance of the query result. We have designed and implemented a novel algorithm to satisfy these requirements and verified its efficiency and effectiveness through experiments.

Original languageEnglish (US)
Title of host publicationSIGMOD 2008
Subtitle of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data 2008
Pages315-326
Number of pages12
DOIs
StatePublished - Dec 10 2008
Externally publishedYes
Event2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08 - Vancouver, BC, Canada
Duration: Jun 9 2008Jun 12 2008

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Other

Other2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08
Country/TerritoryCanada
CityVancouver, BC
Period6/9/086/12/08

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems

Keywords

  • Keyword search
  • Snippets
  • XML

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