Joon Ho Lee, Myoung Ho Kim, and Yoon Joon Lee. Information retrieval based on conceptual distance in IS-A hierarchies. Journal of Documentation, 49(2):188--207, June 1993.

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Using Information Content to Evaluate Semantic Similarity in a.. - Resnik (1995)   (112 citations)  (Correct)

....A natural way to evaluate semantic similarity in a taxonomy is to evaluate the distance between the nodes corresponding to the items being compared the shorter the path from one node to another, the more similar they are. Given multiple paths, one takes the length of the shortest one [ Lee et al. 1993; Rada and Bicknell, 1989; Rada et al. 1989 ] A widely acknowledged problem with this approach, however, is that it relies on the notion that links in the taxonomy represent uniform distances. Unfortunately, this is difficult to define, much less to control. In real taxonomies, there is wide ....

....to be something many people have tried, there seem to be few published descriptions of attempts to directly evaluate the effectiveness of this method. A number of researchers have attempted to make use of conceptual distance in information retrieval. For example, Rada et al. 1989; 1989 ] and Lee et al. 1993 ] report experiments using conceptual distance, implemented using the edge counting metric, as the basis for ranking documents by their similarity to a query. Sussna [ 1993 ] uses semantic relatedness measured with WordNet in word sense disambiguation, defining a measure of distance that weights ....

Joon Ho Lee, Myoung Ho Kim, and Yoon Joon Lee. Information retrieval based on conceptual distance in IS-A hierarchies. Journal of Documentation, 49(2):188--207, June 1993.

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