Abstract
Ontology matching has been widely studied. However, the resulting ontology mappings can be rather unstable when the participating ontologies or utilized secondary sources (e.g., instance sources, thesauri) evolve. We propose an evolution-based approach fo
Thor, A., Hartung, M., Gross, A., Kirsten, T. & Rahm, E.,
(2009).
An evolution-based approach for assessing ontology mappings - A case study in the life sciences.
In:
Freytag, J.-C., Ruf, T., Lehner, W. & Vossen, G.
(Hrsg.),
Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS).
Bonn:
Gesellschaft für Informatik e.V..
(S. 277-286).
@inproceedings{mci/Thor2009,
author = {Thor, Andreas AND Hartung, Michael AND Gross, Anika AND Kirsten, Toralf AND Rahm, Erhard},
title = {An evolution-based approach for assessing ontology mappings - A case study in the life sciences},
booktitle = {Datenbanksysteme in Business, Technologie und Web (BTW) – 13. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS)},
year = {2009},
editor = {Freytag, Johann-Christoph AND Ruf, Thomas AND Lehner, Wolfgang AND Vossen, Gottfried}
,
pages = {
277-286
},
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
(en)