Using Information Content to Evaluate Semantic Similarity in a Taxonomy

Code

• github.com/statbio/ddp2neo4j
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• github.com/statbio/autism4j
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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).

Tasks

Reproductions