Article

OMEN: a probabilistic ontology mapping tool

Authors:

Prasenjit Mitra,

Natasha F. Noy,

Anuj Rattan JaiswalAuthors Info & Claims

ISWC'05: Proceedings of the 4th international conference on The Semantic Web

Pages 537 - 547

https://doi.org/10.1007/11574620_39

Published: 06 November 2005 Publication History

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Abstract

Most existing ontology mapping tools are inexact. Inexact ontology mapping rules, if not rectified, result in imprecision in the applications that use them. We describe a framework to probabilistically improve existing ontology mappings using a Bayesian Network. Omen, an Ontology Mapping ENhancer, is based on a set of meta-rules that captures the influence of the ontology structure and the existing matches to match nodes that are neighbours to matched nodes in the two ontologies. We have implemented a protype ontology matcher that can either map concepts across two input ontologies or enhance existing matches between ontology concepts. Preliminary experiments demonstrate that Omen enhances existing ontology mappings in our test cases.

References

[1]

Bayesian network tools in java(bnj), version 2.0, July 2004.

Google Scholar

[2]

Z. Ding and Y. Peng. A probabilistic extension to ontology language owl. In 37th Hawaii International Conference On System Sciences (HICSS-37), Big Island, Hawai, 2004.

Digital Library

Google Scholar

[3]

A. Doan, J. Madhavan, P. Domingos, and A. Halevy. Learning to map between ontologies on the semantic web. In The Eleventh International WWW Conference, Hawaii, US, 2002.

Digital Library

Google Scholar

[4]

J. Euzenat and P. Valtchev. Similarity-based ontology alignment in OWL-Lite. In The 16th European Conference on Artificial Intelligence (ECAI-04), Valencia, Spain, 2004.

Digital Library

Google Scholar

[5]

E. Hovy. Combining and standardizing largescale, practical ontologies for machine translation and other uses. In The First International Conference on Language Resources and Evaluation (LREC), pages 535-542, Granada, Spain, 1998.

Google Scholar

[6]

D. Koller, A. Levy, and A. Pfeffer. P-Classic: a tractable probabilistic description logic. In 14th National Conference on Artificial Intelligence (AAAI-97), 1997.

Digital Library

Google Scholar

[7]

D. Koller and A. Pfeffer. Probabilistic frame-based systems. In Fifteenth National Conference on Artificial Intelligence (AAAI-98), Madison, Wisconsin, 1998. AAAI Press.

Digital Library

Google Scholar

[8]

S. Melnik, H. Garcia-Molina, and E. Rahm. Similarity flooding: A versatile graph matching algorithm and its application to schema matching. In 18th International Conference on Data Engineering (ICDE-2002), San Jose, California, 2002. IEEE Computing Society.

Digital Library

Google Scholar

[9]

P. Mitra, G. Wiederhold, and S. Decker. A scalable framework for interoperation of information sources. In The 1st International Semantic Web Working Symposium (SWWS'01), Stanford University, Stanford, CA, 2001.

Google Scholar

[10]

N. F. Noy and M. A. Musen. Anchor-PROMPT: Using non-local context for semantic matching. In Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-2001), Seattle, WA, 2001.

Google Scholar

[11]

N. F. Noy and M. A. Musen. The PROMPT suite: Interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59(6):983-1024, 2003.

Digital Library

Google Scholar

[12]

S. Prasad, Y. Peng, and T. Finin. A tool for mapping between two ontologies using explicit information. In AAMAS 2002 Workshop on Ontologies and Agent Systems, Bologna, Italy, 2002.

Google Scholar

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Information

Published In

ISWC'05: Proceedings of the 4th international conference on The Semantic Web

November 2005

1004 pages

ISBN:3540297545

Editors:
Yolanda Gil
USC Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, CA,
,
Enrico Motta
Knowledge Media Institute, The Open University, 4676 Admiralty Way, Marina del Rey, Milton Keynes, CA, UK
,
V. Richard Benjamins
Knowledge Media Institute, iSOCO, 4676 Admiralty Way, Marina del Rey, Milton Keynes, CA, Spain
,
Mark A. Musen
Stanford Center for Biomedical Informatics Research, Stanford University, 4676 Admiralty Way, Marina del Rey, Stanford, CA, US

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Springer-Verlag

Berlin, Heidelberg

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Published: 06 November 2005

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Li WJi QZhang SFu XQi G(2023)A graph-based method for interactive mapping revision in DL-LiteExpert Systems with Applications: An International Journal10.1016/j.eswa.2022.118598211:COnline publication date: 1-Jan-2023
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Ben-Eliyahu-Zohary RGrinshpoun TChurkin EGudes E(2014)Monotonic qualitative logic programsAI Communications10.5555/2636926.263692727:3(213-228)Online publication date: 1-Jul-2014
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