Authors
Sara Cohen, Jonathan Mamou, Yaron Kanza, Yehoshua Sagiv
Publication date
2003/1/1
Book
Proceedings 2003 VLDB Conference
Pages
45-56
Publisher
Morgan Kaufmann
Description
Publisher Summary
This chapter describes XSEarch, a semantic search engine for XML. 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. Numerous query languages for XML have been developed. Recently, interest has arisen in techniques for “flexible querying” of XML. For example, the XQuery working group is considering how to add full-text search features and ranking to XQuery. Such …
Total citations
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Scholar articles
S Cohen, J Mamou, Y Kanza, Y Sagiv - Proceedings 2003 VLDB Conference, 2003