A Structural Paradigm for Representing Knowledge.

Abstract

This report presents on associative network formalism for representing conceptual knowledge. While many similar formalisms have been developed since the introduction of the semantic network in 1966, they have often suffered from inconsistent interpretation of their links, lack of appropriate structure in their nodes, and general expressive inadequacy. In this paper, we take a detailed look at the history of these semantic nets and begin to understand their inadequacies by examining closely what their representational pieces have been intended to model. Based on this analysis, a new type of network is presented - the Structured Inheritance Network (SI-NET) - designed to circumvent common expressive shortcomings.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1978
Accession Number
ADA056524

Entities

People

  • Ronald J. Brachman

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Birds
  • Cognitive Science
  • Computer Languages
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Databases
  • Grammars
  • Information Processing
  • Language
  • Linguistics
  • Message Processing
  • Natural Languages
  • Programming Languages
  • Psychology

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Networking
  • Educational Psychology