A self-organising dictionary for conceptual structures

B. J. Garner, Yue Hong Eric Tsui

Research output: Journal article publicationJournal articleAcademic researchpeer-review

8 Citations (Scopus)

Abstract

The provision of greater intelligence in the storage and reorganisation of knowledge bases is seen to be fundamental to future directions in automated knowledge acquisition, discourse understanding and the design of conceptual processors. In this paper, we report the design and implementation of a self-organising conceptual dictionary for conceptual structures as the basis of an intelligent knowledge-base manager. The dictionary is a connected, directed graph with capabilities for storing graphs, indexing incoming structures, generalising between incbming structures and existing (indexed) structures, identification of graph-subgraph relationships, pattern matching and proposing new structures. Existing work on self-organising retrieval systems is compared and contrasted with our new design.
Original languageEnglish
Pages (from-to)356-363
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume786
DOIs
Publication statusPublished - 11 May 1987
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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