%0 Journal Article
%T A chemical specialty semantic network for the Unified Medical Language System
%A C. Paul Morrey
%A Yehoshua Perl
%A Michael Halper
%A Ling Chen
%A Huanying Gu
%J Journal of Cheminformatics
%D 2012
%I BioMed Central
%R 10.1186/1758-2946-4-9
%X A methodology for expanding the chemical subhierarchy of the SN into a finer-grained categorization of mutually exclusive types with semantically uniform extents is presented. We call this network a Chemical Specialty Semantic Network (CSSN). A CSSN is derived automatically from the existing chemical STs and their assignments. The methodology incorporates a threshold value governing the minimum size of a type¡¯s extent needed for inclusion in the CSSN. Thus, different CSSNs can be created by choosing different threshold values based on varying requirements.A complete CSSN is derived using a threshold value of 300 and having 68 STs. It is used effectively to provide high-level categorizations for a random sample of compounds from the ¡°Chemical Entities of Biological Interest¡± (ChEBI) ontology. The effect on the size of the CSSN using various threshold parameter values between one and 500 is shown.The methodology has several potential applications, including its use to derive a pre-coordinated guide for ST assignments to new UMLS chemical concepts, as a tool for auditing existing concepts, inter-terminology mapping, and to serve as an upper-level network for ChEBI.
%K Unified Medical Language System
%K Vocabulary
%K Controlled
%K Semantics
%K Models
%K Chemical
%K Chemical characterization
%K Chemical Entities of Biological Interest
%K Semantic Network
%U http://www.jcheminf.com/content/4/1/9/abstract