COMA: A System for Flexible Combination of Schema Matching Approaches
H. Do, and E. Rahm. Proceedings of the 28th International Conference on Very Large Data Bases, page 610--621. VLDB Endowment, (2002)
Abstract
Schema matching is the task of finding semantic correspondences between elements of two schemas. It is needed in many database applications, such as integration of web data sources, data warehouse loading and XML message mapping. To reduce the amount of user effort as much as possible, automatic approaches combining several match techniques are required. While such match approaches have found considerable interest recently, the problem of how to best combine different match algorithms still requires further work. We have thus developed the COMA schema matching system as a platform to combine multiple matchers in a flexible way. We provide a large spectrum of individual matchers, in particular a novel approach aiming at reusing results from previous match operations, and several mechanisms to combine the results of matcher executions. We use COMA as a framework to comprehensively evaluate the effectiveness of different matchers and their combinations for real-world schemas. The results obtained so far show the superiority of combined match approaches and indicate the high value of reuse-oriented strategies.
%0 Conference Paper
%1 do2002coma
%A Do, Hong-Hai
%A Rahm, Erhard
%B Proceedings of the 28th International Conference on Very Large Data Bases
%D 2002
%I VLDB Endowment
%K coma information integration mapping matching schema
%P 610--621
%T COMA: A System for Flexible Combination of Schema Matching Approaches
%U http://dl.acm.org/citation.cfm?id=1287369.1287422
%X Schema matching is the task of finding semantic correspondences between elements of two schemas. It is needed in many database applications, such as integration of web data sources, data warehouse loading and XML message mapping. To reduce the amount of user effort as much as possible, automatic approaches combining several match techniques are required. While such match approaches have found considerable interest recently, the problem of how to best combine different match algorithms still requires further work. We have thus developed the COMA schema matching system as a platform to combine multiple matchers in a flexible way. We provide a large spectrum of individual matchers, in particular a novel approach aiming at reusing results from previous match operations, and several mechanisms to combine the results of matcher executions. We use COMA as a framework to comprehensively evaluate the effectiveness of different matchers and their combinations for real-world schemas. The results obtained so far show the superiority of combined match approaches and indicate the high value of reuse-oriented strategies.
@inproceedings{do2002coma,
abstract = {Schema matching is the task of finding semantic correspondences between elements of two schemas. It is needed in many database applications, such as integration of web data sources, data warehouse loading and XML message mapping. To reduce the amount of user effort as much as possible, automatic approaches combining several match techniques are required. While such match approaches have found considerable interest recently, the problem of how to best combine different match algorithms still requires further work. We have thus developed the COMA schema matching system as a platform to combine multiple matchers in a flexible way. We provide a large spectrum of individual matchers, in particular a novel approach aiming at reusing results from previous match operations, and several mechanisms to combine the results of matcher executions. We use COMA as a framework to comprehensively evaluate the effectiveness of different matchers and their combinations for real-world schemas. The results obtained so far show the superiority of combined match approaches and indicate the high value of reuse-oriented strategies.},
acmid = {1287422},
added-at = {2015-11-25T12:21:48.000+0100},
author = {Do, Hong-Hai and Rahm, Erhard},
biburl = {https://www.bibsonomy.org/bibtex/2b6b96bd9b5bf1f36e490185deaab9cb6/porta},
booktitle = {Proceedings of the 28th International Conference on Very Large Data Bases},
description = {COMA},
interhash = {1e5c80af6ad93ec5c46e8be9252088b5},
intrahash = {b6b96bd9b5bf1f36e490185deaab9cb6},
keywords = {coma information integration mapping matching schema},
location = {Hong Kong, China},
numpages = {12},
pages = {610--621},
publisher = {VLDB Endowment},
series = {VLDB '02},
timestamp = {2015-11-25T12:21:48.000+0100},
title = {COMA: A System for Flexible Combination of Schema Matching Approaches},
url = {http://dl.acm.org/citation.cfm?id=1287369.1287422},
year = 2002
}