Using Information Content to Evaluate Semantic Similarity in a Taxonomy

Resnik, Philip

Using Information Content to Evaluate Semantic Similarity in a Taxonomy

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Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Cognitive Modelling. Pages 448-452.

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) .

Philip Resnik. 1995. Using Information Content to Evaluate Semantic Similarity in a Taxonomy. In Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95. IJCAI, 448–452. https://ijcai.org/proceedings/1995/59

@inproceedings{ijcai1995p59,
  title     = {Using Information Content to Evaluate Semantic Similarity in a Taxonomy},
  author    = {Resnik, Philip},
  booktitle = {Proceedings of the Fourteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-95}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Chris S. Mellish},
  pages     = {448--452},
  year      = {1995},
  note      = {Cognitive Modelling},
  url       = {https://ijcai.org/proceedings/1995/59},
}

TY  - CPAPER
TI  - Using Information Content to Evaluate Semantic Similarity in a Taxonomy
AU  - Resnik, Philip
T2  - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95
PB  - International Joint Conferences on Artificial Intelligence
PY  - 1995
SP  - 448
EP  - 452
UR  - https://ijcai.org/proceedings/1995/59
ER  -