This paper presents a new semantic relatedness measure on ontologies which considers especially the object properties between the concepts. Our approach relies on two hypotheses. Firstly, using only concept hierarchy and object properties, only a few paths can be considered as "semantically corrects" and these paths obey to a given set of rules. Secondly, following a given edge in a path has a cost (represented as a weight), which depends on its type ( , , etc.), its context in the ontology and its position in this path. We propose an evaluation of our measure on the lexical base WordNet using relation with two different benchmarks. We show that, in this context, our measure outperforms the classical semantic measures. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Mazuel, L., & Sabouret, N. (2008). Semantic relatedness measure using object properties in an ontology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5318 LNCS, pp. 681–694). Springer Verlag. https://doi.org/10.1007/978-3-540-88564-1_43
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