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.
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Cho, M., Choi, J., Kim, P. (2003). An Efficient Computational Method for Measuring Similarity between Two Conceptual Entities. In: Dong, G., Tang, C., Wang, W. (eds) Advances in Web-Age Information Management. WAIM 2003. Lecture Notes in Computer Science, vol 2762. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45160-0_38
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DOI: https://doi.org/10.1007/978-3-540-45160-0_38
Publisher Name: Springer, Berlin, Heidelberg
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