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.
Using MathML to Represent Units of Measurement for Improved Ontology Alignment
Published 2013 in MKM/Calculemus/DML
ABSTRACT
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- Publication year
2013
- Venue
MKM/Calculemus/DML
- Publication date
2013-07-05
- Fields of study
Mathematics, Computer Science
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- External record
- Source metadata
Semantic Scholar
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