Adding context to Concept Trees. (5th March 2020)

• Record Type: Journal Article
• Authors: Greer, Kieran
• Is Part Of: International journal of intelligent systems design and computing. Volume 3:Number 1(2020)
• Page Start: 84
• Page End: 100
• Publication Date: 2020-03-05
• Subjects: concept -- tree -- context -- link -- natural order -- semantic -- query -- knowledge -- database -- neural; Artificial intelligence -- Periodicals; Human-computer interaction -- Periodicals; 006.3
• Languages: English
• ISSNs: 2052-8477

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.