Modeling Multi-typed Structurally Viewed Chemicals with the UMLS Refined Semantic Network | Zendy

L. Chen | Zendy; C. Paul Morrey | Zendy; H. Gu | Zendy; Michael Halper | Zendy; Yehoshua Perl | Zendy

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Modeling Multi-typed Structurally Viewed Chemicals with the UMLS Refined Semantic Network

Author(s) -

L. Chen,

C. Paul Morrey,

H. Gu,

Michael Halper,

Yehoshua Perl

Publication year - 2008

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m2604

Subject(s) - unified medical language system , computer science , abstraction , interpretation (philosophy) , type (biology) , conjugate , identification (biology) , theoretical computer science , artificial intelligence , programming language , mathematics , ecology , mathematical analysis , philosophy , botany , epistemology , biology

Chemical concepts assigned multiple "Chemical Viewed Structurally" semantic types (STs) in the Unified Medical Language System (UMLS) are subject to ambiguous interpretation. The multiple assignments may denote the fact that a specific represented chemical (combination) is a conjugate, derived via a chemical reaction of chemicals of the different types, or a complex, composed of a mixture of such chemicals. The previously introduced Refined Semantic Network (RSN) is modified to properly model these varied multi-typed chemical combinations.

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