@article{Cho2003,
abstract = {Previous definitions of semantic similarity can be classified into two approaches. The node(information content)-based approach uses an entropy measure that is computed on the basis of child node population. The edge-based approach involves the use of the number of edges between two concepts within a hierarchical conceptual structure. The edge-based distance method is more intuitive, while the node-based information content approach is more theoretically sound. We consider a combined model that is derived from the edge-based notion with the addition of the information content. In this paper, we propose a method for computerized conceptual similarity calculation in WordNet space. The proposed method provides a degree of conceptual dissimilarity between two concepts. It gives a higher correlation value with a criterion based on human similarity judgment.},
author = {Cho, Miyoung and Choi, Junho and Kim, Pankoo},
isbn = {3-540-40715-4},
issn = {0302-9743},
journal = {Lecture notes in computer science},
keywords = {Analyse conceptuelle,Analyse contenu,An\'{a}lisis conceptual,An\'{a}lisis contenido,Conceptual analysis,Content analysis,Content based retrieval,Entropie,Entropy,Entrop\'{\i}a,Ontologie,Ontology,Ontolog\'{\i}a,Recherche par contenu,SML-LIB-BIBLIO,Semantics,Sem\'{a}ntica,Similarity,Similitud,Similitude,S\'{e}mantique,lang:ENG},
mendeley-tags = {SML-LIB-BIBLIO,lang:ENG},
pages = {381--388},
publisher = {Springer},
title = {{An efficient computational method for measuring similarity between two conceptual entities}},
year = {2003}
}