Using MathML to Represent Units of Measurement for Improved Ontology Alignment
Presented at the International Conference on Intelligent Computer Mathematics
Ontologies provide a formal description of concepts and their relationships in a knowledge domain. The goal of ontology alignment is to identify semantically matching concepts and relationships across independently developed ontologies that purport to describe the same knowledge. In order to handle the widest possible class of ontologies, many alignment algorithms rely on terminological and structural methods, but the often fuzzy nature of concepts complicates the matching process. However, one area that should provide clear matching solutions due to its mathematical nature, is units of measurement. Several ontologies for units of measurement are available, but there has been no attempt to align them, notwithstanding the obvious importance for technical interoperability. We propose a general strategy to map these (and similar) ontologies by introducing MathML to accurately capture the semantic description of concepts specified therein. We provide mapping results for three ontologies, and show that our approach improves on lexical comparisons.
|ontology alignment, ontology matching, MathML|
|Information (theme 2)|
|Lecture Notes in Computer Science|
|International Conference on Intelligent Computer Mathematics|
|Organisation||Intelligent and autonomous systems|
Do, C, & Pauwels, E.J.E.M. (2013). Using MathML to Represent Units of Measurement for Improved Ontology Alignment. In Intelligent Computer Mathematics Intelligent Computer Mathematics (pp. 1–325). Springer.