Abstract
In this paper, we propose a common phrase index as an efficient index structure to support phrase queries in a very large text database. Our structure is an extension of previous index structures for phrases and achieves better query efficiency with negligible extra storage cost. In our experimental evaluation, a common phrase index has 5% and 20% improvement in query time for the overall and large queries (queries of long phrases) respectively over an auxiliary nextword index. Moreover, it uses only 1% extra storage cost. Compared with an inverted index, our improvement is 40% and 72% for the overall and large queries respectively. © Springer-Verlag Berlin Heidelberg 2006.
| Original language | English |
|---|---|
| Title of host publication | Advances in Information Retrieval |
| Subtitle of host publication | 28th European Conference on IR Research, ECIR 2006, London, UK, April 10-12, 2006, Proceedings |
| Editors | Mounia Lalmas, Andy MacFarlane, Stefan Rüger, Anastasios Tombros, Theodora Tsikrika, Alexei Yavlinsky |
| Publisher | Springer |
| Pages | 61-71 |
| Number of pages | 11 |
| ISBN (Electronic) | 978-3-540-33348-7 |
| ISBN (Print) | 3-540-33347-9, 978-3-540-33347-0 |
| DOIs | |
| Publication status | Published - 2006 |
| Event | 28th European Conference on Information Retrieval (ECIR 2006) - London, United Kingdom Duration: 10 Apr 2006 → 12 Apr 2006 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 3936 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 28th European Conference on Information Retrieval (ECIR 2006) |
|---|---|
| Place | United Kingdom |
| City | London |
| Period | 10/04/06 → 12/04/06 |
Funding
The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China [Project No. CityU 1198/03E].
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