A self-organising dictionary for conceptual structures

B. J. Garner; Yue Hong Eric Tsui

doi:10.1117/12.940641

A self-organising dictionary for conceptual structures

B. J. Garner, Yue Hong Eric Tsui

Research output: Journal article publication › Journal article › Academic research › peer-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 language	English
Pages (from-to)	356-363
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	786
DOIs	https://doi.org/10.1117/12.940641
Publication status	Published - 11 May 1987
Externally published	Yes

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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10.1117/12.940641

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A self-organising dictionary for conceptual structures

Abstract

ASJC Scopus subject areas

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