Query Optimization for an Advanced Keyword Search on Relational Data Stream


The KIPS Transactions:PartD, Vol. 16, No. 6, pp. 859-870, Dec. 2009
10.3745/KIPSTD.2009.16.6.859,   PDF Download:

Abstract

Despite the surge in the research for keyword search method over relational database, only little attention has been devoted to studying on relational data stream.The research for keyword search over relational data stream is intense interest because streaming data is recently a major research topic of growing interest in the data management. In this regard we first analyze the researches related to keyword search methodover relational data stream, and then this paper focuses on the method of minimizing the join cost occurred while processing keyword search queries. As a result, we propose an advanced keyword search method that can yield more meaningful results for users on relational data streams. We also propose a query optimization method using layered-clustering for efficient query processing.


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Cite this article
[IEEE Style]
J. U. Joo, H. S. Kim, J. H. Hwang, J. H. Son, "Query Optimization for an Advanced Keyword Search on Relational Data Stream," The KIPS Transactions:PartD, vol. 16, no. 6, pp. 859-870, 2009. DOI: 10.3745/KIPSTD.2009.16.6.859.

[ACM Style]
Jin Ung Joo, Hak Soo Kim, Jin Ho Hwang, and Jin Hyun Son. 2009. Query Optimization for an Advanced Keyword Search on Relational Data Stream. The KIPS Transactions:PartD, 16, 6, (2009), 859-870. DOI: 10.3745/KIPSTD.2009.16.6.859.