Development of a Toxin Knowledge System

Abstract

The Toxin Knowledge System (TKS) is being developed to provide rapidly accessible, up-to-date knowledge about low molecular weight toxins. This system will integrate facts from published literature into monographs on individual toxins. Development utilizes a relational database management system and associated fourth-generation programming language on minicomputer. It uses a standard knowledge structure, structured abstracting processes, standard nomenclature systems, and computer-generated structured monographs. This system exploits the structured style of scientific writing to collect information on low molecular weight toxins and store this information in structured form. The application guides the abstractor in this collection process, facilitating the extraction of similar information from different papers. A sophisticated user interface allows the user to readily add, find, delete, and update data in the system. Currently TKS manages citation data for both journals and books, has keyword access to entered citations, and can collect information on a paper including the study designs, the subjects and exposure regimens used, and the links to connect this data to the clinical findings reported. Keywords: Artificial intelligence, BW, Database, Assessment, Toxins, Relational data bases, Antitoxins.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 1988
Accession Number
ADA198603

Entities

People

  • Harold L. Trammel

Organizations

  • University of Illinois Urbana–Champaign

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computers
  • Consistency
  • Data Processing
  • Database Management Systems
  • Databases
  • Medical Personnel
  • Midrange Computers
  • Programming Languages
  • Relational Database Management Systems
  • Relational Databases
  • User Interface

Readers

  • Database Systems and Applications
  • Microbial Pathology
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval