Similarity and compatibility in fuzzy set theory: assessment and applications
Similarity and compatibility in fuzzy set theory: assessment and applications
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
An Information-Theoretic Definition of Similarity
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part II on On the Move to Meaningful Internet Systems
Using information content to evaluate semantic similarity in a taxonomy
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
A feature and information theoretic framework for semantic similarity and relatedness
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Towards semantic comparison of multi-granularity process traces
Knowledge-Based Systems
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This paper theoretically and empirically investigates ontological similarity. Tversky's parameterized ratio model of similarity [3] is shown as a unifying basis of many of the well-known ontological similarity measures. A new family of ontological similarity measures is proposed that allows parameterizing the characteristic set used to represent an ontological concept. The three subontologies of the prominent GO are used in an empirical investigation of several ontological similarity measures. A new ontological similarity measure derived from the proposed family is also empirically studied. A detailed discussion of the correlation among the measures is presented as well as a comparison of the effects of two different methods of determining a concept's information content, corpus-based and ontology-based.