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Evaluation of the Ontology Instance Migration Methodology and Solution in Industrial Settings

  • Conference paper
Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 412))

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Abstract

The recent growth in maturity of semantic technologies has led to a substantially wider adoption of semantics enabled solutions in industries. These solutions typically include knowledge specifications in the form of different ontologies. Semantic heterogeneity can be resolved by applying ontology alignment methods to these ontologies. Therefore the development of the industrial strength software tools for solving different ontology alignment problems becomes important in the research and development. One of the practically important problems in the pool is the ontology instance migration problem. The paper presents the results of the evaluation of our solution of the ontology instance migration problem in industrial settings. The solution follows an iterative incremental approach involving a knowledge engineer as a process supervisor. Technically, the problem is solved by (i) automatically computing the structural difference between the schemas of ontologies; (ii) automatically generating the transformation rules for the individual assertions; (iii) automatically transforming the assertions; and (iv) manually controlling the completeness of those transformations and resolving problem cases. The solution has been evaluated by applying it to the ontologies in (i) libraries; and (ii) construction industry.

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Author information

Authors and Affiliations

  1. Department of IT, Zaporozhye National University, 66 Zhukovskogo st., 69600, Zaporozhye, Ukraine

    Maxim Davidovsky & Vadim Ermolayev

  2. Department of Mathematical Modeling, Zaporozhye National University, 66 Zhukovskogo st., 69600, Zaporozhye, Ukraine

    Vyacheslav Tolok

Authors
  1. Maxim Davidovsky
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  2. Vadim Ermolayev
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  3. Vyacheslav Tolok
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Editor information

Editors and Affiliations

  1. Department of Information Technologies, Zaporozhye National University, Zhukovskogo st. 66, 69063, Zaporozhye, Ukraine

    Vadim Ermolayev

  2. Mayr Application Engineering, Alpen-Adria University Klagenfurt, Universitätsstrasse 65, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  3. Department of Theory and Technology of Programming, Taras Shevchenko National University of Kyiv, 64, Volodymyrska Street, 01601, Kyiv, Ukraine

    Mykola Nikitchenko

  4. Kherson State University, Ukraine

    Aleksander Spivakovsky

  5. School of Mathematics and Mechanics, V.N. Karazin Kharkiv National University, 4, Svobody Sqr., 61022, Kharkiv, Ukraine

    Grygoriy Zholtkevych

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Davidovsky, M., Ermolayev, V., Tolok, V. (2013). Evaluation of the Ontology Instance Migration Methodology and Solution in Industrial Settings. In: Ermolayev, V., Mayr, H.C., Nikitchenko, M., Spivakovsky, A., Zholtkevych, G. (eds) Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2013. Communications in Computer and Information Science, vol 412. Springer, Cham. https://doi.org/10.1007/978-3-319-03998-5_9

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  • DOI: https://doi.org/10.1007/978-3-319-03998-5_9

  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-03998-5

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