Given a domain of interest, an ontology provides a formal specification of the concepts and relationships in this domain. An align- ment identifies a semantic connection between the concepts and relation- ships of ontologies purporting to describe the same knowledge. The ma- jority 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 varia- tions 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.
MathML, ontology matching, ontology alignment, units
Information (theme 2)
Springer
J.C. Augusto , R. Wichert , R Collier , D Keyson , A.A. Salah (Albert Ali) , A.-H. Tan (Ah-Hwee)
dx.doi.org/10.1007/978-3-319-03647-2-20
Lecture Notes in Computer Science
European Conference on Ambient Intelligence
Intelligent and autonomous systems

Do, C, & Pauwels, E.J.E.M. (2013). Harnessing Mathematics for Improved Ontology Alignment. In J.C Augusto, R Wichert, R Collier, D Keyson, A.A Salah, & A.-H Tan (Eds.), 4th International Joint Conference, AmI 2013 (pp. 1–318). Springer. doi:10.1007/978-3-319-03647-2-20