Abstract
Given a domain of interest, an ontology provides a formal specification of the concepts and relationships in this domain. An alignment identifies a semantic connection between the concepts and relationships of ontologies purporting to describe the same knowledge. The majority of approaches to ontology alignment take a general view and rely on terminological and structural techniques to handle the widest possible class of ontologies. Due to the fuzzy nature of concepts and the variations in their representations, this matching process is often complicated. One area that should provide a more solid foundation for comparison is mathematical concepts. Mathematical concepts are covered by numerous ontologies, making them a potentially important basis for comparison. One part of this doctoral work is to investigate the potential of using mathematical concepts to improve ontology alignment.
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Do, C., Pauwels, E.J. (2013). Harnessing Mathematics for Improved Ontology Alignment. In: Augusto, J.C., Wichert, R., Collier, R., Keyson, D., Salah, A.A., Tan, AH. (eds) Ambient Intelligence. AmI 2013. Lecture Notes in Computer Science, vol 8309. Springer, Cham. https://doi.org/10.1007/978-3-319-03647-2_20
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DOI: https://doi.org/10.1007/978-3-319-03647-2_20
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