Efficient and Effective Aggregate Keyword Search on Relational Databases
Author:
Affiliation:
1. Baidu, Inc., Beijing, China
2. SAP Business Objects, Coquitlam, BC, Canada
3. School of Computing Science, Simon Fraser University, Burnaby, BC, Canada
Abstract
Publisher
IGI Global
Subject
Hardware and Architecture,Software
Reference22 articles.
1. Agrawal, S., Chaudhuri, S., & Das, G. (2002). Dbxplorer: A system for keyword-based search over relational databases. In Proceedings of the 18th International Conference on Data Engineering (pp. 5-16). Washington, DC: IEEE Computer Society.
2. Balmin, A., Hristidis, V., & Papakonstantinou, Y. (2004). Objectrank: Authority-based keyword search in databases. In Proceedings of the 13th International Conference on Very Large Data Bases (pp. 564-575). San Francisco, CA: Morgan Kaufmann.
3. Beyer, K. S., & Ramakrishnan, R. (1999). Bottom-up computation of sparse and iceberg cubes. In Proceedings of the ACM SIGMOD International Conference on Management of Data (pp. 359-370). New York, NY: ACM Press.
4. Bhalotia, G., Hulgeri, A., Nakhe, C., Chakrabarti, S., & Sudarshan, S. (2002). Keyword searching and browsing in databases using banks. In Proceedings of the 18th International Conference on Data Engineering (pp. 431-440). Washington, DC: IEEE Computer Society.
5. Chen, Y., Wang, W., & Liu, Z. (2011). Keyword-based search and exploration on databases. In Proceedings of the 27th International Conference on Data Engineering (pp. 1380-1383). Washington, DC: IEEE Computer Society.
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