XSEarch: a semantic search engine for XML

  • Authors:

  • Sara Cohen;Jonathan Mamou;Yaron Kanza;Yehoshua Sagiv

  • Affiliations:

  • School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel;School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel;School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel;School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel

  • Venue:
  • VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
  • Year:
  • 2003

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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.