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Bioinformatics: searching the Net

S Kastin1, J Wexler

  • 1Bronx VA Medical Center, Albert Einstein College of Medicine,NY 10468, USA.

Seminars in Nuclear Medicine
|May 14, 1998
PubMed
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The increasing volume of medical literature necessitates efficient search methods. New search engine strategies and the World Wide Web (WWW) offer improved access and precision for medical information retrieval.

Area of Science:

  • Medical Informatics
  • Information Science

Background:

  • The exponential growth of published medical information over 30 years has created a critical need for advanced search strategies.
  • Current MEDLINE searches, relying on keywords and abstracts with Boolean operators, often yield overwhelming results.

Purpose of the Study:

  • To explore efficient methods for searching the expanding body of medical literature.
  • To examine the evolution and effectiveness of World Wide Web (WWW) search tools for accessing medical information.

Main Methods:

  • Analysis of traditional keyword and abstract searching limitations.
  • Evaluation of World Wide Web (WWW) cataloging strategies: directories versus search engines.
  • Discussion of advanced search refinements like phrase searching and proximity operators.

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  • Consideration of emerging search engine types and future conceptual searching.

    • Main Results:

    • Keyword and textword searches on full-text articles can be voluminous.
    • Search engines and directories offer distinct approaches to WWW information retrieval.
    • Advanced search techniques (phrase, proximity) and specialized search engines improve search precision.
    • The lines between directories and search engines are blurring, with metasearch sites emerging.

    Conclusions:

    • The development of the Internet and WWW enables unprecedented access to medical information.
    • Refined search engine functionalities and specialized tools are crucial for efficient medical literature retrieval.
    • Future conceptual searching promises more intuitive information discovery, shifting focus from search mechanics to results.