2013
Harnessing Mathematics for Improved Ontology Alignment
Publication
Publication
Presented at the
European Conference on Ambient Intelligence, Dublin, Ireland
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.
| Additional Metadata | |
|---|---|
| , , , | |
| Springer | |
| J.C. Augusto , R. Wichert , R Collier , D Keyson , A.A. Salah (Albert Ali) , A.-H. Tan (Ah-Hwee) | |
| doi.org/10.1007/978-3-319-03647-2-20 | |
| Lecture Notes in Computer Science | |
| European Conference on Ambient Intelligence | |
| Organisation | Intelligent and autonomous systems |
|
Do, C., & Pauwels, E. (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 |
|