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2017 | OriginalPaper | Chapter

The Knowledge Increase Estimation Framework for Ontology Integration on the Relation Level

Authors : Adrianna Kozierkiewicz-Hetmańska, Marcin Pietranik

Published in: Computational Collective Intelligence

Publisher: Springer International Publishing

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Abstract

The task of integration of sets of data or knowledge (regardless the choice of its representation) can be very daunting procedure, requiring a lot of computational resources and time. Authors claim that it is beneficial to develop a formal framework which could be used to estimate the profitability of the integration, ideally even before the integration even occurs. Therefore, a set of algorithms for such estimation of the increase of knowledge concerning relation level of ontology integration is proposed.

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Title: The Knowledge Increase Estimation Framework for Ontology Integration on the Relation Level
Authors: Adrianna Kozierkiewicz-Hetmańska
Marcin Pietranik
Publisher: Springer International Publishing
Book: Computational Collective Intelligence
Print ISBN: 978-3-319-67073-7

Electronic ISBN: 978-3-319-67074-4

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-67074-4_5

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