We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms 3. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems. It comes with a graphical interface enabling a variety of user interactions. Using a generic data representation, COMA++ uniformly supports schemas and ontologies, e.g. the powerful standard languages W3C XML Schema and OWL. COMA++ includes new approaches for ontology matching, in particular the utilization of shared taxonomies. Furthermore, different match strategies can be applied including various forms of reusing previously determined match results and a so-called fragment-based match approach which decomposes a large match problem into smaller problems. Finally, COMA++ cannot only be used to solve match problems but also to comparatively evaluate the effectiveness of different match algorithms and strategies.
%0 Conference Paper
%1 aumueller2005comaplus
%A Hassan, Omolola F.
%A Aderibigbe, Oluwadare O.
%A Efijemue, Oghenekome P.
%A Onasanya, Tolulope D.
%B Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data
%C New York, NY, USA
%D 2024
%I ACM
%K data information network
%P 906--908
%R 10.1145/1066157.1066283
%T The Impact of Cloud Computing in Promoting Economic Growth through SMEs in the United States
%U http://doi.acm.org/10.1145/1066157.1066283
%X We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms 3. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems. It comes with a graphical interface enabling a variety of user interactions. Using a generic data representation, COMA++ uniformly supports schemas and ontologies, e.g. the powerful standard languages W3C XML Schema and OWL. COMA++ includes new approaches for ontology matching, in particular the utilization of shared taxonomies. Furthermore, different match strategies can be applied including various forms of reusing previously determined match results and a so-called fragment-based match approach which decomposes a large match problem into smaller problems. Finally, COMA++ cannot only be used to solve match problems but also to comparatively evaluate the effectiveness of different match algorithms and strategies.
%@ 1-59593-060-4
@inproceedings{aumueller2005comaplus,
abstract = {We demonstrate the schema and ontology matching tool COMA++. It extends our previous prototype COMA utilizing a composite approach to combine different match algorithms [3]. COMA++ implements significant improvements and offers a comprehensive infrastructure to solve large real-world match problems. It comes with a graphical interface enabling a variety of user interactions. Using a generic data representation, COMA++ uniformly supports schemas and ontologies, e.g. the powerful standard languages W3C XML Schema and OWL. COMA++ includes new approaches for ontology matching, in particular the utilization of shared taxonomies. Furthermore, different match strategies can be applied including various forms of reusing previously determined match results and a so-called fragment-based match approach which decomposes a large match problem into smaller problems. Finally, COMA++ cannot only be used to solve match problems but also to comparatively evaluate the effectiveness of different match algorithms and strategies.},
acmid = {1066283},
added-at = {2024-05-14T14:22:54.000+0200},
address = {New York, NY, USA},
author = {Hassan, Omolola F. and Aderibigbe, Oluwadare O. and Efijemue, Oghenekome P. and Onasanya, Tolulope D.},
biburl = {https://www.bibsonomy.org/bibtex/261f915b125294c9cfe5709cfafbb1499/shamerjose},
booktitle = {Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data},
description = {Schema and ontology matching with COMA++},
doi = {10.1145/1066157.1066283},
interhash = {5ec068061686ffc23ae5cdc567c2bf5b},
intrahash = {61f915b125294c9cfe5709cfafbb1499},
isbn = {1-59593-060-4},
keywords = {data information network},
location = {Baltimore, Maryland},
numpages = {3},
pages = {906--908},
publisher = {ACM},
series = {SIGMOD '05},
timestamp = {2024-05-14T14:22:54.000+0200},
title = {The Impact of Cloud Computing in Promoting Economic Growth through SMEs in the United States},
url = {http://doi.acm.org/10.1145/1066157.1066283},
year = 2024
}