Abstract
In this paper we present a development of our ontology alignment framework based on varying semantics of attributes. Emphasising the analysis of explicitly given descriptions of how attributes change meanings they entail while being included within different concepts have been proved useful. Moreover, we claim that it is consistent with the intuitive way how people see the real world and how they find similarities and correspondences between its elements. In this paper we concentrate on the issue of tracking changes that may occur within aligned ontologies and how these potential changes can influence the process of finding new mappings or validating ones that have already been found.
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Pietranik, M., Nguyen, N.T., Orłowski, C. (2014). Increasing the Efficiency of Ontology Alignment by Tracking Changes in Ontology Evolution. In: Hwang, D., Jung, J.J., Nguyen, NT. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2014. Lecture Notes in Computer Science(), vol 8733. Springer, Cham. https://doi.org/10.1007/978-3-319-11289-3_40
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DOI: https://doi.org/10.1007/978-3-319-11289-3_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11288-6
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