DocumentCode
3165687
Title
Semantic similarity measures in ontology alignment
Author
Cross, V.V. ; Silwal, P. ; Xi Chen
Author_Institution
Comput. Sci. & Software Eng. Dept., Miami Univ., Oxford, OH, USA
fYear
2013
fDate
24-28 June 2013
Firstpage
442
Lastpage
447
Abstract
Numerous ontological or semantic similarity measures have been proposed to determine how similar one concept is to another within the context of an ontology. These measures are shown to have as their basis fuzzy set compatibility measures and have been used in a variety of biomedical and bioinformatics applications. In this paper a new matcher, the mediating matcher with semantic similarity (MMSS), has been designed in an adaptable manner and added to an existing OA system. Experiments are performed to compare the performance of several semantic similarity measures with different domain reference ontologies when used in the task of ontology alignment.
Keywords
fuzzy set theory; ontologies (artificial intelligence); pattern matching; MMSS; OA system; bioinformatics applications; biomedical applications; domain reference ontologies; fuzzy set compatibility measures; mediating matcher with semantic similarity; ontology alignment; ontology context; semantic similarity measures; Biomedical measurement; Bridges; Current measurement; Integrated circuits; Ontologies; Semantics; Silicon;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608441
Filename
6608441
Link To Document