Conceptual graphs
Conceptual graphs were created some 20 years ago to represent concepts and their relationships within database systems. The potential and actual use of conceptual graphs in the IT industry is actually so much wider.
The ability of conceptual graphs to produce human readable and logically precise data structures makes them an ideal tool to solve a long-standing problem in IT – bridging the gap between the way humans interpret information and the way computers understand data.
Erudine uses conceptual graphs to bridge the gap between knowledge represented in a natural (human readable) language and knowledge held within a computer readable format.
An example of a simple conceptual graph would be:
The graph is easily understandable, even when the situation becomes more complex. And because the conceptual graph format is based on natural language, within an hour a domain expert can be trained to read even complex graphs.
In this way, conceptual graphs can be used to represent an entire situation, and a domain expert is able to create behaviour using their own in-depth knowledge and information that is presented to them in an understandable form.