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An Analytic Aggregation-Based Ontology Alignment Approach with Multiple Matchers

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Book cover Advanced Techniques for Knowledge Engineering and Innovative Applications

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 246))

Abstract

A critical aspect of providing data interoperability relies on ontological alignment and the successful semantic integration. Ontology alignment is being applied to these domains as a fundamental component. Many basic matching techniques have been proposed, however in order to adapt to the diverse sources of ontology and enhance the matching ability, the crucial point facing is how to choose and combine different alignment algorithms. In this chapter, an approach with multiple alignment algorithms is described. The algorithms are proposed from lexical, semantic and structural levels of source ontology. The algorithms are chosen by a comprehensive pre-defined strategy, one or more specific algorithms will be chosen according to the features of entities to be matched. To aggregate the different matching results dynamically and automatically, Analytic Hierarchy Process (AHP) is applied innovatively based on three similarity indicators, which reflect the essential features of source ontology. The results of the benchmarking experiment suggested that the approach has strong matching ability. It obtained high precision and promising evaluation results.

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Author information

Authors and Affiliations

  1. IMS, UMR 5218, Univ. Bordeaux, 351 Cours de la Libration, 33400, Talence, France

    Fuqi Song, Gregory Zacharewicz & David Chen

Authors
  1. Fuqi Song
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  2. Gregory Zacharewicz
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  3. David Chen
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Editor information

Editors and Affiliations

  1. School of Electrical and Information Engineering, University of South Australia, Mawson Lake Campus, 5095, Adelaide, SA, Australia

    Jeffrey W. Tweedale

  2. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus, 5095, Adelaide, SA, Australia

    Lakhmi C. Jain

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Song, F., Zacharewicz, G., Chen, D. (2013). An Analytic Aggregation-Based Ontology Alignment Approach with Multiple Matchers. In: Tweedale, J.W., Jain, L.C. (eds) Advanced Techniques for Knowledge Engineering and Innovative Applications. Communications in Computer and Information Science, vol 246. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42017-7_11

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  • DOI: https://doi.org/10.1007/978-3-642-42017-7_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-42016-0

  • Online ISBN: 978-3-642-42017-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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