Finding Semantic Inconsistencies in UMLS using Answer Set Programming

Authors

  • Halit Erdogan Sabanci University
  • Olivier Bodenreider National Library of Medicine
  • Esra Erdem Sabanci University

DOI:

https://doi.org/10.1609/aaai.v24i1.7781

Keywords:

UMLS, Answer Set Programming, Inconsistencies in UMLS

Abstract

We introduce a new method to find semantic inconsistencies (i.e., concepts with erroneous synonymity) in the Unified Medical Language System (UMLS). The idea is to identify the inconsistencies by comparing the semantic groups of hierarchically-related concepts using Answer Set Programming. With this method, we identified several inconsistent concepts in UMLS and discovered an interesting semantic pattern along hierarchies, which seems associated with wrong synonymy.

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Published

2010-07-05

How to Cite

Erdogan, H., Bodenreider, O., & Erdem, E. (2010). Finding Semantic Inconsistencies in UMLS using Answer Set Programming. Proceedings of the AAAI Conference on Artificial Intelligence, 24(1), 1927-1928. https://doi.org/10.1609/aaai.v24i1.7781