Finding Semantic Inconsistencies in UMLS using Answer Set Programming. Erdogan, H., Bodenreider, O., & Erdem, E. In Proc. of the 24th AAAI Conference on Artificial Intelligence (AAAI'10), 2010. N abstract bibtex 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.
@inproceedings{sa10,
author = {Halit Erdogan and Olivier Bodenreider and Esra Erdem},
booktitle = {Proc. of the 24th AAAI Conference on Artificial Intelligence (AAAI'10)},
title = {Finding Semantic Inconsistencies in UMLS using Answer Set Programming},
year = {2010},
urlN = {sa10.pdf},
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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