A framework for the comparative analysis and evaluation of knowledge representation schemes

R. Bingi, Deepak Khazanchi, Surya B. Yadav

Research output: Contribution to journalArticle

6 Scopus citations

Abstract

This article sets forth a framework for comparing and evaluating knowledge representation schemes based on the requirements for "good" representation discussed in extant literature. The dimensions of the framework suggest that knowledge representation schemes should possess a suitable mix of four basic considerations: Representational adequacy (Variety of Expressiveness, Modularity, Semantics, and Organization of Knowledge); Inference Methods (Reasoning Strategies, Data, Control and Search Strategies); and Inference Requirements (Computational Efficiency, Transparency of line of control, Completeness, and Consistency). A comparative analysis and evaluation of four popular knowledge representation schemes-Logic, Production Rules, Semantic Nets, Frames-highlighting their strengths and weaknesses in the context of the framework is furnished as evidence of its inherent validity and usefulness. In conclusion, it is submitted that incorporating an appropriate blend of the various dimensions elucidated in this article could be a step towards developing more flexible, dynamic, and valuable knowledge representation schemes.

Original languageEnglish (US)
Pages (from-to)233-247
Number of pages15
JournalInformation Processing and Management
Volume31
Issue number2
DOIs
StatePublished - 1995

Keywords

  • Frames.
  • Framework
  • Knowledge representation schemes
  • Logic
  • Production rules
  • Representational adequacy
  • Representational properties
  • Semantic net

ASJC Scopus subject areas

  • Information Systems
  • Media Technology
  • Computer Science Applications
  • Management Science and Operations Research
  • Library and Information Sciences

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