{"type":"ScholarlyArticle","title":"Using Information Content to Evaluate Semantic Similarity in a Taxonomy","authors":[{"name":"Philip Resnik","slug":"philip-resnik","given":"Philip","family":"Resnik","affiliation":""}],"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) .","doi":null,"url":"https://ijcai.org/proceedings/1995/59","pdf":"https://ijcai.org/proceedings/1995/0059.pdf","markdown":"https://ijcai.org/proceedings/1995/59.md","bibtex":"https://ijcai.org/proceedings/1995/bibtex/59","volume":{"slug":"1995","title":"Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1995","url":"https://ijcai.org/proceedings/1995/","year":1995,"location":"Montréal, Québec, Canada","dates":"","editors":"Chris S. Mellish","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Cognitive Modelling","track":"Cognitive Modelling","number":59,"pages":{"first":448,"last":452},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}