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 language | English |
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| Title of host publication | Proceedings - 29th International Conference on Very Large Data Bases, VLDB 2003 |
| Editors | Patricia G. Selinger, Michael J. Carey, Johann Christoph Freytag, Serge Abiteboul, Peter C. Lockemann, Andreas Heuer |
| Publisher | Morgan Kaufmann |
| Pages | 45-56 |
| Number of pages | 12 |
| ISBN (Electronic) | 0127224424, 9780127224428 |
| State | Published - 2003 |
| Event | 29th International Conference on Very Large Data Bases, VLDB 2003 - Berlin, Germany Duration: 9 Sep 2003 → 12 Sep 2003 |
Publication series
| Name | Proceedings - 29th International Conference on Very Large Data Bases, VLDB 2003 |
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Conference
| Conference | 29th International Conference on Very Large Data Bases, VLDB 2003 |
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| Country/Territory | Germany |
| City | Berlin |
| Period | 9/09/03 → 12/09/03 |
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).