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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Kozierkiewicz-Hetmańska, A., Pietranik, M. (2017). The Knowledge Increase Estimation Framework for Ontology Integration on the Relation Level. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_5
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