Finding Semantic Inconsistencies in UMLS Using Answer Set Programming

Halit Erdogan, Olivier Bodenreider, Esra Erdem

AAAI 2010 pp. 1927-1928

doi:10.1609/AAAI.V24I1.7781 /aaai/2010/erdogan2010aaai-finding/

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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Text

Erdogan et al. "Finding Semantic Inconsistencies in UMLS Using Answer Set Programming." AAAI Conference on Artificial Intelligence, 2010. doi:10.1609/AAAI.V24I1.7781

Markdown

[Erdogan et al. "Finding Semantic Inconsistencies in UMLS Using Answer Set Programming." AAAI Conference on Artificial Intelligence, 2010.](https://mlanthology.org/aaai/2010/erdogan2010aaai-finding/) doi:10.1609/AAAI.V24I1.7781

BibTeX

@inproceedings{erdogan2010aaai-finding,
  title     = {{Finding Semantic Inconsistencies in UMLS Using Answer Set Programming}},
  author    = {Erdogan, Halit and Bodenreider, Olivier and Erdem, Esra},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2010},
  pages     = {1927-1928},
  doi       = {10.1609/AAAI.V24I1.7781},
  url       = {https://mlanthology.org/aaai/2010/erdogan2010aaai-finding/}
}