CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction

@inproceedings{Tu2005CMCCM,
  title={CMC: Combining Multiple Schema-Matching Strategies Based on Credibility Prediction},
  author={Kewei Tu and Yong Yu},
  booktitle={DASFAA},
  year={2005}
}
Schema matching, which tries to find semantic correspondences between schema elements, is a key operation in data engineering. Combining multiple matching strategies is a very promising technique for schema matching. To overcome the limitations of existing combination systems and to achieve better performances, in this paper the CMC system is proposed, which combines multiple matchers based on credibility prediction. We first predict the accuracy of each matcher on the current matching task… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 26 extracted citations

Bayesian Approaches to Matching Architectural Diagrams

IEEE Transactions on Software Engineering • 2010
View 4 Excerpts
Highly Influenced

A High-Level Architecture of a Metadata-based Ontology Matching Framework

17th International Workshop on Database and Expert Systems Applications (DEXA'06) • 2006
View 4 Excerpts
Highly Influenced

2B or not 2B and everything in between — novel evaluation methods for matching problems

2014 IEEE 30th International Conference on Data Engineering Workshops • 2014
View 2 Excerpts

Aggregation of similarity measures in schema matching based on generalized mean

2014 IEEE 30th International Conference on Data Engineering Workshops • 2014
View 1 Excerpt

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…