IROM: Information Retrieval-Based Ontology Matching

  • Hatem Mousselly-Sergieh
  • Rainer Unland
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6725)


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.


Ontology matching information retrieval ontology similarity 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Hatem Mousselly-Sergieh
    • 1
  • Rainer Unland
    • 2
  1. 1.Chair of Distributed Information SystemsUniversity of PassauPassauGermany
  2. 2.Data Management Systems and Knowledge Representation GroupUniversity of Duisburg-EssenEssenGermany

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