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CancerNet redistribution via WWW

G Quade1, N Püschel, F Far

  • 1Institut für Medizinische Statistik, Dokumentation und Datenverarbeitung der Universität Bonn.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1996
PubMed
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CancerNet provides monthly updated cancer information and tumor therapy standards. Automated Perl scripts efficiently convert ASCII files to searchable HTML, minimizing manual work and costs.

Area of Science:

  • Biomedical Informatics
  • Cancer Research
  • Information Science

Background:

  • The National Cancer Institute's CancerNet database contains extensive cancer information.
  • Timely access to updated cancer data and tumor therapy standards is crucial for healthcare professionals and researchers.
  • Existing data formats may not be optimal for web-based dissemination and full-text searching.

Purpose of the Study:

  • To develop an automated system for converting CancerNet ASCII files into web-accessible HTML documents.
  • To enhance the discoverability and usability of cancer information through full-text indexing.
  • To assess the efficiency and cost-effectiveness of the automated conversion process.

Main Methods:

  • Utilized Perl scripts for automated conversion of ASCII files to HTML.

Related Experiment Videos

  • Implemented a complex algorithm with regular expression matching and exception handling to parse text structures.
  • Generated tables of contents and indexed resulting HTML files for full-text search using WAIS (Wide Area Information Servers).

    • Main Results:

    • Successfully converted nearly 500 ASCII files into HTML documents with automated table of contents generation.
    • The entire CancerNet WWW redistribution process was completed in under two hours with minimal manual intervention.
    • Indexed files enabled efficient full-text searching, improving information retrieval.

    Conclusions:

    • Automated conversion using Perl scripts and sophisticated algorithms significantly streamlines the dissemination of cancer information.
    • The developed system enhances accessibility and searchability of the CancerNet database.
    • The process is highly efficient and cost-effective, with average delivery costs of approximately 19 cents per document for 26,000 monthly requests.