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Related Experiment Videos

The UMLS Knowledge Source server

A T McCray1, A Razi

  • 1National Library of Medicine, Bethesda, Maryland, USA.

Medinfo. MEDINFO
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

The Unified Medical Language System (UMLS) Knowledge Source server provides remote access to biomedical information. It utilizes a client-server model with TCP/IP for broad accessibility.

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Area of Science:

  • Biomedical Informatics
  • Health Informatics
  • Information Science

Background:

  • The Unified Medical Language System (UMLS) is a critical resource for integrating biomedical information.
  • Accessing the vast data within the UMLS Knowledge Sources requires robust and scalable systems.
  • Existing methods for accessing UMLS data may present limitations in terms of accessibility and integration.

Purpose of the Study:

  • To describe the architecture and functionality of the UMLS Knowledge Source server.
  • To highlight the client-server paradigm enabling remote access to UMLS data.
  • To outline the access methods available to users for interacting with the UMLS Knowledge Sources.

Main Methods:

  • The system employs a client-server architecture for distributed access.

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  • Centralized server management is hosted at the U.S. National Library of Medicine.
  • Client programs are designed to operate on platforms supporting the TCP/IP communication protocol.

    • Main Results:

    • The UMLS Knowledge Source server facilitates efficient retrieval of information from the UMLS Knowledge Sources.
    • Remote users can access the server via a centrally managed system.
    • The system supports access through both a command-line interface and an Application Programming Interface (API).

    Conclusions:

    • The UMLS Knowledge Source server offers a flexible and accessible platform for biomedical data retrieval.
    • The client-server architecture and multiple access points enhance the utility of the UMLS.
    • This evolving tool supports diverse user needs in accessing and integrating biomedical knowledge.