 |
HAL-LIRMM - Open Archive |  |
Conference papers
A Generic Approach for Combining Linguistic and Context Profile Metrics in Ontology Matching
Abstract : Ontology matching is needed in many application domains. In this paper, we present a machine learning approach for combining metrics, which exploits various linguistic and context profiles features in order to discover mappings between entities of different ontologies. Our approach has been implemented and the experimental results over Benchmark and Conference test cases on OAEI 2010 campaign demonstrate its effectiveness and efficiency in terms of quality of matching and flexibility.
Cited literature [8 references]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-00639714
Contributor : Duy Hoa Ngo Connect in order to contact the contributor
Submitted on : Wednesday, November 9, 2011 - 6:01:20 PM
Last modification on : Thursday, January 20, 2022 - 4:18:52 PM
Long-term archiving on: : Friday, February 10, 2012 - 2:37:59 AM
Contributor : Duy Hoa Ngo Connect in order to contact the contributor
Submitted on : Wednesday, November 9, 2011 - 6:01:20 PM
Last modification on : Thursday, January 20, 2022 - 4:18:52 PM
Long-term archiving on: : Friday, February 10, 2012 - 2:37:59 AM
File
A_Generic_Approach_for_Combini...
Files produced by the author(s)