%0 Generic %1 resnik1995using %A Resnik, Philip %D 1995 %K evaluation_methods diploma_thesis %T Using Information Content to Evaluate Semantic Similarity in a Taxonomy %U http://www.citebase.org/abstract?id=oai:arXiv.org:cmp-lg/9511007 %X 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).