Conceptual knowledge acquisition in biomedicine: A methodological review. Review uri icon

Overview

MeSH

  • Decision Trees
  • Expert Systems
  • Forecasting
  • Language
  • Linguistics
  • Models, Theoretical
  • Quality Control
  • Semantics
  • Software Validation
  • Symbolism

MeSH Major

  • Artificial Intelligence
  • Biomedical Research
  • Databases, Bibliographic
  • Documentation

abstract

  • The use of conceptual knowledge collections or structures within the biomedical domain is pervasive, spanning a variety of applications including controlled terminologies, semantic networks, ontologies, and database schemas. A number of theoretical constructs and practical methods or techniques support the development and evaluation of conceptual knowledge collections. This review will provide an overview of the current state of knowledge concerning conceptual knowledge acquisition, drawing from multiple contributing academic disciplines such as biomedicine, computer science, cognitive science, education, linguistics, semiotics, and psychology. In addition, multiple taxonomic approaches to the description and selection of conceptual knowledge acquisition and evaluation techniques will be proposed in order to partially address the apparent fragmentation of the current literature concerning this domain.

publication date

  • October 2007

has subject area

  • Artificial Intelligence
  • Biomedical Research
  • Databases, Bibliographic
  • Decision Trees
  • Documentation
  • Expert Systems
  • Forecasting
  • Language
  • Linguistics
  • Models, Theoretical
  • Quality Control
  • Semantics
  • Software Validation
  • Symbolism

Research

keywords

  • Journal Article
  • Meta-Analysis
  • Review

Identity

Language

  • eng

PubMed Central ID

  • PMC2082059

Digital Object Identifier (DOI)

  • 10.1016/j.jbi.2007.03.005

PubMed ID

  • 17482521

Additional Document Info

start page

  • 582

end page

  • 602

volume

  • 40

number

  • 5