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Ontology and Instance Matching

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Knowledge-Driven Multimedia Information Extraction and Ontology Evolution

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6050))

Abstract

The growing need of sharing data and digital resources within and across organizations has produced a novel attention on issues related to ontology and instance matching. After an introductory classification of the main techniques and tools for ontology matching, the chapter focuses on instance matching by providing an accurate classification of the matching techniques proposed in the literature, and a comparison of the recent instance matching tools according to the results achieved in the OAEI 2009 contest. Ontology and instance matching solutions developed in the BOEMIE project for multimedia resource management and ontology evolution are finally presented.

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Authors and Affiliations

  1. Università degli Studi di Milano DICo, Via Comelico, 39, 20135, Milano, Italy

    Silvana Castano, Alfio Ferrara, Stefano Montanelli & Gaia Varese

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  1. Silvana Castano
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  2. Alfio Ferrara
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  3. Stefano Montanelli
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  4. Gaia Varese
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Editors and Affiliations

  1. Institute of Informatics and Telecommunications, National Centre for Scientific Research “Demokritos”, P.O. box 60228, 15310, Ag. Paraskevi, Athens, Greece

    Georgios Paliouras  & Constantine D. Spyropoulos  & 

  2. Biotechnology Center (BIOTEC), TU Dresden, Tatzberg 47-51, 01307, Dresden, Germany

    George Tsatsaronis

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Castano, S., Ferrara, A., Montanelli, S., Varese, G. (2011). Ontology and Instance Matching. In: Paliouras, G., Spyropoulos, C.D., Tsatsaronis, G. (eds) Knowledge-Driven Multimedia Information Extraction and Ontology Evolution. Lecture Notes in Computer Science(), vol 6050. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20795-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-20795-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20794-5

  • Online ISBN: 978-3-642-20795-2

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