Markov Network Based Ontology Matching
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 1884-1888.
Abstract
iMatch is a probabilistic scheme for ontology matching based on Markov networks, which has several advantages over other probabilistic schemes. First, it uses undirected networks, which better supports the non-causal nature of the dependencies. Second, it handles the high computational complexity involved by approximate reasoning, rather then by ad-hoc pruning. Third, the probabilities that it uses are learned from matched data. Finally, iMatch naturally supports interactive semi-automatic matches. Experiments using the standard benchmark tests that compare our approach with the most promising existing systems show that iMatch is one of the top performers.Sivan Gali Albagli, Solomon Eyal Shimony, Rachel Ben-Eliyahu-Zohary
@inproceedings{ijcai2009p312,
title = {Markov Network Based Ontology Matching},
author = {Albagli, Sivan and Ben-Eliyahu-Zohary, Rachel and Shimony, Solomon Eyal},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {1884--1888},
year = {2009},
url = {https://ijcai.org/proceedings/2009/312},
}
TY - CPAPER TI - Markov Network Based Ontology Matching AU - Albagli, Sivan AU - Ben-Eliyahu-Zohary, Rachel AU - Shimony, Solomon Eyal T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 1884 EP - 1888 UR - https://ijcai.org/proceedings/2009/312 ER -Copied
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