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An Efficient Method for Computing Alignment Diagnoses

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Web Reasoning and Rule Systems (RR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5837))

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Abstract

Formal, logic-based semantics have long been neglected in ontology matching. As a result, almost all matching systems produce incoherent alignments of ontologies. In this paper we propose a new method for repairing such incoherent alignments that extends previous work on this subject. We describe our approach within the theory of diagnosis and introduce the notion of a local optimal diagnosis. We argue that computing a local optimal diagnosis is a reasonable choice for resolving alignment incoherence and suggest an efficient algorithm. This algorithm partially exploits incomplete reasoning techniques to increase runtime performance. Nevertheless, the completeness and optimality of the solution is still preserved. Finally, we test our approach in an experimental study and discuss results with respect to runtime and diagnostic quality.

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Meilicke, C., Stuckenschmidt, H. (2009). An Efficient Method for Computing Alignment Diagnoses. In: Polleres, A., Swift, T. (eds) Web Reasoning and Rule Systems. RR 2009. Lecture Notes in Computer Science, vol 5837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05082-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-05082-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05081-7

  • Online ISBN: 978-3-642-05082-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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