A chemical specialty semantic network for the Unified Medical Language System
نویسندگان
چکیده
منابع مشابه
A chemical specialty semantic network for the Unified Medical Language System
BACKGROUND Terms representing chemical concepts found the Unified Medical Language System (UMLS) are used to derive an expanded semantic network with mutually exclusive semantic types. The UMLS Semantic Network (SN) is composed of a collection of broad categories called semantic types (STs) that are assigned to concepts. Within the UMLS's coverage of the chemical domain, we find a great deal of...
متن کاملMapping medical vocabularies to the Unified Medical Language System.
This paper presents our work in automated mapping of medical vocabularies to the National Library of Medicine's Unified Medical Language System (UMLS). We used the UMLS Knowledge Source (KS) tool to map terms from several sources to UMLS Metathesaurus concepts. We compared performance of the KS tools with our own Minimal Representable Units Method (MRUM). The KS tools were able to map terms fro...
متن کاملontology of unified medical language system (umls) metathesaurus
introduction: for many years, ontologies have been available in many different forms, for example: classification schema, thesauruses, authorized vocabularies, terminologies and dictionaries. terminology and knowledge resources are essential components of interoperability among disparate systems. so, this paper considered the ontology of umls (which was prepared by national library medicine of ...
متن کاملResearch Paper: Auditing the Unified Medical Language System with Semantic Methods
OBJECTIVE The National Library of Medicine's (NLM) Unified Medical Language System (UMLS) includes a Metathesaurus (Meta), which is a compilation of medical terms drawn from over 30 controlled vocabularies, and a Semantic Net, which contains the semantic types used to categorize Meta concepts and the semantic relations to connect them. Meta has been constructed through lexical matching techniqu...
متن کاملUsing Semantic and Structural Properties of the Unified Medical Language System to Discover Potential Terminological Relationships
Design: The UMLS integrates knowledge from several biomedical terminologies. This knowledge can be used to discover implicit semantic relationships between concepts. In this paper, the authors propose a problemindependent approach for discovering potential terminological relationships that employs semantic abstraction of indirect relationship paths to perform classification and analysis of netw...
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ژورنال
عنوان ژورنال: Journal of Cheminformatics
سال: 2012
ISSN: 1758-2946
DOI: 10.1186/1758-2946-4-9