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The Knowledge Increase Estimation Framework for Integration of Ontology Instances’ Relations

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 838))

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Abstract

The previous authors’ research showed that it is not only possible, but also profitable to estimate a potential growth of a level of knowledge that appears during an integration of ontologies. Such estimation can be done before the eventual integration procedure (or at least during such) which makes it even more valuable, because it allows to decide if a particular integration should be performed in the first place. Until now, authors of this paper prepared a formal framework that can be used to estimate the knowledge increase on the level of concepts, instances and relations between concepts. This paper is devoted to the level of relations between instances.

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Notes

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Acknowledgments

This research project was supported by grant No. 2017/01/X/ST6/00491 from the National Science Centre, Poland

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Adrianna Kozierkiewicz & Marcin Pietranik

Authors
  1. Adrianna Kozierkiewicz
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  2. Marcin Pietranik
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Corresponding author

Correspondence to Adrianna Kozierkiewicz .

Editor information

Editors and Affiliations

  1. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Audrone Lupeikiene

  2. Information Systems Department, Vilnius Gediminas Technical University, Vilnius, Lithuania

    Olegas Vasilecas

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

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Kozierkiewicz, A., Pietranik, M. (2018). The Knowledge Increase Estimation Framework for Integration of Ontology Instances’ Relations. In: Lupeikiene, A., Vasilecas, O., Dzemyda, G. (eds) Databases and Information Systems. DB&IS 2018. Communications in Computer and Information Science, vol 838. Springer, Cham. https://doi.org/10.1007/978-3-319-97571-9_15

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  • DOI: https://doi.org/10.1007/978-3-319-97571-9_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97570-2

  • Online ISBN: 978-3-319-97571-9

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