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 incoming 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.
B. J. Garner,
"A Self-Organising Dictionary For Conceptual Structures", Proc. SPIE 0786, Applications of Artificial Intelligence V, (11 May 1987); doi: 10.1117/12.940641; https://doi.org/10.1117/12.940641