Using Information Content to Evaluate Semantic Similarity in a Taxonomy

@inproceedings{resnik-95, abstract = {This paper presents a new measure of semantic similarity in an is-a taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity judgments, with an upper bound of r = 0.90 for human subjects performing the same task), and significantly better than the traditional edge counting approach (r = 0.66).}, author = {Resnik, Philip }, booktitle = {IJCAI}, citeulike-article-id = {879855}, keywords = {resnik-95, semantic-similarity}, pages = {448--453}, posted-at = {2008-05-06 22:42:50}, priority = {3}, title = {Using Information Content to Evaluate Semantic Similarity in a Taxonomy}, url = {http://citeseer.ist.psu.edu/resnik95using.html}, year = {1995} }

TY - CONF ID - resnik-95 L3 - citeulike-article-id:879855 TI - Using Information Content to Evaluate Semantic Similarity in a Taxonomy T2 - IJCAI SP - 448 EP - 453 N2 - This paper presents a new measure of semantic similarity in an is-a taxonomy, based on the notion of information content. Experimental evaluation suggests that the measure performs encouragingly well (a correlation of r = 0.79 with a benchmark set of human similarity judgments, with an upper bound of r = 0.90 for human subjects performing the same task), and significantly better than the traditional edge counting approach (r = 0.66). KW - resnik-95 KW - semantic-similarity AU - Resnik, Philip PY - 1995/// UR - http://citeseer.ist.psu.edu/resnik95using.html ER -