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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jian Yu Jihong Guan Jianliang Xu Shuigeng Zhou |
| Copyright Year | 2009 |
| Abstract | Recent research has shown that keyword search is a friendly and potentially effective way to retrieve information of interest over relational databases. Existing work has generally focused on implementing keyword search in centralized databases. This paper addresses keyword search over distributed databases. We adopts distributed hash tables (DHTs) – a peer-to-peer inspired overlay network technology – as the infrastructure to implement keyword search over relational databases. For this end, we combine IR-based ranking techniques with a P2P-based indexing strategy, and propose an effective approach. Extensive experiments over real-world datasets show that our approach is effective and efficient. |
| Starting Page | 448 |
| Ending Page | 455 |
| File Size | 268423 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424457885 |
| ISSN | 15219097 |
| e-ISBN | 9781424457892 |
| DOI | 10.1109/ICPADS.2009.133 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-08 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Keyword search Relational databases Query processing Computer science Indexing Information retrieval Peer to peer computing Internet Deductive databases Intelligent networks Relational Databases Peer-to-Peer Networks Distributed Hash Tables Keyword Searching |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture |
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