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IROM: Information Retrieval-Based Ontology Matching

Sergieh, Hatem Mousselly and Unland, Rainer (2010):
IROM: Information Retrieval-Based Ontology Matching.
In: Semantic Multimedia - 5th International Conference on Semantic and Digital Media Technologies, SAMT 2010, Springer Berlin Heidelberg, Saarbrücken, Germany, ISBN 978-3-642-23017-2,
DOI: 10.1007/978-3-642-23017-2_9,
[Online-Edition: https://link.springer.com/chapter/10.1007%2F978-3-642-23017-...],
[Conference or Workshop Item]

Abstract

A crucial piece of semantic web development is the creation of viable ontology matching approaches to ensure interoperability in a wide range of applications such as information integration and semantic multimedia. In this paper, a new approach for ontology matching called IROM (Information Retrieval-based Ontology Matching) is presented. This approach derives the different components of an information retrieval (IR) framework based on the information provided by the input ontologies and supported by ontology similarity measures. Subsequently, a retrieval algorithm is applied to determine the correspondences between the matched ontologies. IROM was tested with ontology pairs taken from two resources for reference ontologies, OAEI and FOAM. The evaluation shows that IROM is competitive with top-ranked matchers on the benchmark test at OAEI campaign of 2009.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Sergieh, Hatem Mousselly and Unland, Rainer
Title: IROM: Information Retrieval-Based Ontology Matching
Language: English
Abstract:

A crucial piece of semantic web development is the creation of viable ontology matching approaches to ensure interoperability in a wide range of applications such as information integration and semantic multimedia. In this paper, a new approach for ontology matching called IROM (Information Retrieval-based Ontology Matching) is presented. This approach derives the different components of an information retrieval (IR) framework based on the information provided by the input ontologies and supported by ontology similarity measures. Subsequently, a retrieval algorithm is applied to determine the correspondences between the matched ontologies. IROM was tested with ontology pairs taken from two resources for reference ontologies, OAEI and FOAM. The evaluation shows that IROM is competitive with top-ranked matchers on the benchmark test at OAEI campaign of 2009.

Title of Book: Semantic Multimedia - 5th International Conference on Semantic and Digital Media Technologies, SAMT 2010
Publisher: Springer Berlin Heidelberg
ISBN: 978-3-642-23017-2
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Saarbrücken, Germany
Date Deposited: 31 Dec 2016 14:29
DOI: 10.1007/978-3-642-23017-2_9
Official URL: https://link.springer.com/chapter/10.1007%2F978-3-642-23017-...
Identification Number: TUD-CS-2010-23889
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