Title: Adding context to Concept Trees

Authors: Kieran Greer

Addresses: Distributed Computing Systems, Belfast, UK

Abstract: A Concept Tree is a structure for representing knowledge, where the trees are stored in a Concept Base. It sits between the highly distributed neural architectures and the distributed information systems, with the intention of bringing brain-like and computer systems closer together. Concept Trees can grow from unstructured or semi-structured sources when consistent sequences are presented. Each tree ideally represents a single cohesive concept and the trees can link with each other for navigation and semantic purposes. A consistent build process is managed through a 'counting rule' and mathematical basis that can normalise the database structure. This restricted structure can then be complimented and enriched by a more dynamic context. A number of tests have demonstrated the soundness of the architecture, which may be inherent in natural language. Two types of query language are also described that can answer knowledge-based questions and even enhance the query with new knowledge.

Keywords: concept; tree; context; link; natural order; semantic; query; knowledge; database; neural.

DOI: 10.1504/IJISDC.2019.105805

International Journal of Intelligent Systems Design and Computing, 2019 Vol.3 No.1, pp.84 - 100

Received: 07 May 2019
Accepted: 19 Jan 2020

Published online: 05 Mar 2020 *

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