RESUMO
Gene-related discoveries are appearing in increasing volume in the scientific literature. The gene ontology (GO) provides standard ways of describing gene-related information, but GO terms seldom appear in their exact form in natural-language text. This paper describes a new tool, a biomedical text analyzer, for extracting GO terms and their variants from biomedical text.
RESUMO
An architecture built from five software components -a Router, Parser, Matcher, Mapper, and Server -fulfills key requirements common to several point-of-care information and knowledge processing tasks. The requirements include problem-list creation, exploiting the contents of the Electronic Medical Record for the patient at hand, knowledge access, and support for semantic visualization and software agents. The components use the National Library of Medicine Unified Medical Language System to create and exploit lexical closure-a state in which terms, text and reference models are represented explicitly and consistently. Preliminary versions of the components are in use in an oncology knowledge server.
