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).
%0 Conference Paper
%1 citeulike:879855
%A Resnik, Philip
%B IJCAI 1995
%D 1995
%K relatedness semantic taxonomy
%P 448--453
%T Using Information Content to Evaluate Semantic Similarity in a Taxonomy
%U http://citeseer.ist.psu.edu/resnik95using.html
%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).
@inproceedings{citeulike:879855,
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).},
added-at = {2008-02-10T02:19:38.000+0100},
author = {Resnik, Philip},
biburl = {https://www.bibsonomy.org/bibtex/26bb9e231efe0e45fb5cf949f0be7b207/brightbyte},
booktitle = {IJCAI 1995},
citeulike-article-id = {879855},
description = {stuff from citeyoulike},
interhash = {746146003bcba4f1df57044178a1b9ac},
intrahash = {6bb9e231efe0e45fb5cf949f0be7b207},
keywords = {relatedness semantic taxonomy},
pages = {448--453},
priority = {2},
timestamp = {2009-01-23T09:58:50.000+0100},
title = {Using Information Content to Evaluate Semantic Similarity in a Taxonomy},
url = {http://citeseer.ist.psu.edu/resnik95using.html},
year = 1995
}