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MrCoM: A cost model for range query translation in deep web data integration

  • Jiang Fangjiao
  • , Jia Linlin
  • , Meng Weiyi
  • , Meng Xiaofeng
  • Renmin University of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Due to the autonomy of web databases, a major challenge for query translation in a Deep Web Data Integration System is the lack of cost models at the global level. In this paper, we propose a Multiple-regression Cost Model (MrCoM) based on statistical analysis for global range queries that involve numeric range attributes. Using the MrCoM, the query translation strategy for new global range queries can be inferred. We also propose a Pre-processing-based Stepwise Algorithm (PSA) for selecting significant independent variables into the MrCoM. Experimental results demonstrate that the fitness of the MrCoM is good and the accuracy of the query strategy selection is high.

Original languageEnglish
Title of host publicationProceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
Pages263-270
Number of pages8
DOIs
StatePublished - 2008
Event4th International Conference on Semantics, Knowledge, and Grid, SKG 2008 - Beijing, China
Duration: Dec 3 2008Dec 5 2008

Publication series

NameProceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008

Conference

Conference4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
Country/TerritoryChina
CityBeijing
Period12/3/0812/5/08

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