Selection and information: a class-based approach to lexical relationships
Selection and information: a class-based approach to lexical relationships
Contextual correlates of synonymy
Communications of the ACM
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
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
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In the current age of information, applications must deal with the heterogeneity of data. Many efforts in the state of the art try to solve this issue in an automatic fashion and the emergence of semantic Web technologies has boosted these techniques. However, the usage of these technologies gives place to new problems that must be sorted out. One of these problems comes from the utilisation of ontologies, where concepts arranged in a hierarchy are used. In many applications, this requires measures of semantic similarity between these concepts. In this paper, we introduce an innovative solution to tackle this problem.