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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CITATION STYLE
Kozierkiewicz-Hetmańska, A., & Pietranik, M. (2017). The Knowledge Increase Estimation Framework for Ontology Integration on the Relation Level. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10448 LNAI, pp. 44–53). Springer Verlag. https://doi.org/10.1007/978-3-319-67074-4_5
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