Biomedical subjects

A C Browne

Publications and source records attributed to A C Browne.

3 recordsLinked to original sources

PubMed1996

The UMLS Knowledge Source Server: a versatile Internet-based research tool.

The National Library of Medicine's Unified Medical Language System (UMLS) project regularly distributes a set of Knowledge Sources to the research community. In 1995 the UMLS data were made available for the first time through the Internet-based UMLS Knowledge Source Server. The server can be accessed through three different client interfaces. The World Wide Web interface allows users to browse and explore the data and to see how those data are organized in the UMLS. The command-line interface is best suited for batch processing, and the application programming interface allows developers at remote sites to embed calls in their application programs to the Knowledge Source Server.

Computer Communication Networks↗

PubMed1994

Lexical methods for managing variation in biomedical terminologies.

Access to biomedical terminologies is hampered by the high degree of variability inherent in natural language terms and in the terminologies themselves. The lexicon, lexical programs, databases, and indexes included with the 1994 release of the UMLS Knowledge Sources are designed to help users manage this variability. We describe these resources and illustrate their flexibility and usefulness in providing enhanced access to data in the UMLS Metathesaurus.

Biology↗

PubMed1993

UMLS knowledge for biomedical language processing.

This paper describes efforts to provide access to the free text in biomedical databases. The focus of the effort is the development of SPECIALIST, an experimental natural language processing system for the biomedical domain. The system includes a broad coverage parser supported by a large lexicon, modules that provide access to the extensive Unified Medical Language System (UMLS) Knowledge Sources, and a retrieval module that permits experiments in information retrieval. The UMLS Metathesaurus and Semantic Network provide a rich source of biomedical concepts and their interrelationships. Investigations have been conducted to determine the type of information required to effect a map between the language of queries and the language of relevant documents. Mappings are never straightforward and often involve multiple inferences.

Humans↗