XSEarch: A semantic SEarch engine for XML

Sara Cohen, Jonathan Mamou, Yaron Kanza, Yehoshua Sagiv

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

436 Scopus citations

Abstract

XSEarch, a semantic search engine for XML, is presented. XSEarch has a simple query language, suitable for a naive user. It returns semantically related document fragments that satisfy the user's query. Query answers are ranked using extended information-retrieval techniques and are generated in an order similar to the ranking. Advanced indexing techniques were developed to facilitate efficient implementation of XSEarch. The performance of the different techniques as well as the recall and the precision were measured experimentally. These experiments indicate that XSEarch is efficient, scalable and ranks quality results highly.

Original languageAmerican English
Title of host publicationProceedings - 29th International Conference on Very Large Data Bases, VLDB 2003
EditorsPatricia G. Selinger, Michael J. Carey, Johann Christoph Freytag, Serge Abiteboul, Peter C. Lockemann, Andreas Heuer
PublisherMorgan Kaufmann
Pages45-56
Number of pages12
ISBN (Electronic)0127224424, 9780127224428
StatePublished - 2003
Event29th International Conference on Very Large Data Bases, VLDB 2003 - Berlin, Germany
Duration: 9 Sep 200312 Sep 2003

Publication series

NameProceedings - 29th International Conference on Very Large Data Bases, VLDB 2003

Conference

Conference29th International Conference on Very Large Data Bases, VLDB 2003
Country/TerritoryGermany
CityBerlin
Period9/09/0312/09/03

Bibliographical note

Funding Information:
Jonathan Mamou is grateful to Marie-Christine Rousset for helpful discussions. This work was supported by the Israel Science Foundation (Grant 96/01).

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