Abstract Since different ontology matchers do not necessarily find the same correct correspondences, usually several competing matchers are applied to the same pair of ontology entities to increase evidence towards a potential match or mismatch. How to select, combine and tune various ontology matchers, so-called ontology meta-matching, is one of the main challenges in ontology matching domain. In recent years, Evolutionary Algorithm (EA) based ontology meta-matching technique has become the state-of-the-art methodology to solve the ontology meta-matching problem, but it suffers from some defects like the slow convergence, premature convergence and the huge memory consumption. To overcome these drawbacks, in this paper, a Compact EA (CEA) based ontology meta-matching technique is proposed, which makes use of a probabilistic representation of the population to perform the optimization process. In particular, we construct an optimal model for the ontology meta-matching problem, propose a problem-specific CEA to optimize the aggregating weights of various matchers, and utilize a Cross Sum Quality Measure (CSQM) to adaptively extract the final alignment. The experimental results show that our approach outperforms other EA based ontology matching techniques and Ontology Alignment Evaluation Initiative (OAEI 2016)’s participants.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Compact Evolutionary Algorithm Based Ontology Meta-matching


    Beteiligte:
    Xue, Xingsi (Autor:in) / Liu, Shijian (Autor:in)


    Erscheinungsdatum :

    2017-11-03


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    SVM-based ontology matching approach

    Liu, L. / Yang, F. / Zhang, P. et al. | British Library Online Contents | 2012


    Ontology-Based Resource Modeling and Matching Framework in Avionics Systems

    Xiaoyan Du / Chenglie Du / Jinchao Chen et al. | DOAJ | 2022

    Freier Zugriff

    Bell-Curve Based Evolutionary Optimization Algorithm

    Sobieszczanski-Sobieski, J. / Laba, K. / Kincaid, R. et al. | British Library Conference Proceedings | 1998


    Bell-curve based evolutionary optimization algorithm

    Sobieszczanski-Sobieski, Jaroslaw / Laba, Keith / Kincaid, Rex | AIAA | 1998