Multi-strategies Ontology Alignment Aggregated by AHP

Abstract : Ontology alignment is a critical issue for semantic integration and data interoperability. Many basic matching techniques have been proposed, the crucial point is how to combine different techniques to adapt the diverse sources of ontology. In this paper, we proposed to use three matchers with multiple strategies from perspective of label, semantic and structural aspects of ontology. A rule-based pre-process for identifying the core word with part-of-speech (POS) tagging is carried out before matching. Method Analytic Hierarchy Process (AHP) is applied to aggregate different matching results dynamically and automatically. The intensity of importance is determined by three similarity indicators, which reflect the essential features of source ontologies. This proposed approach shows strong matching ability, which obtained high precision and outstanding evaluation results in benchmarking experiment.
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Conference papers
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Contributor : Fuqi Song <>
Submitted on : Monday, September 3, 2012 - 12:01:11 AM
Last modification on : Thursday, September 26, 2019 - 11:30:12 AM



Fuqi Song, Gregory Zacharewicz, David Chen. Multi-strategies Ontology Alignment Aggregated by AHP. 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems(KES), Sep 2012, San Sebastian, Spain. pp.1583-1592, ⟨10.3233/978-1-61499-105-2-1583⟩. ⟨hal-00727155⟩



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