Knowledge can be represented in many different ways. By far, the most common way humans represent knowledge is in their natural language. For machines, however, it is difficult to use this to share and to expand and maintain the knowledge base. One way to tackle this is to understand the OODA loop of the business: Observe, Orient, Decide and Act.
This loop provides an understanding of the domain. It allows for a definition of possible solutions and a selection of required techniques that fit the business case. The resulting model is then subjected to hypothesis, diagnostic rulesets, fuzzy agents and other methods. Machine understandable graphical rules, which follow a specific syntax and are not tied to a specific language, can then be applied to model the knowledge-base. The main goal is to make all data shareable among all platforms, regardless of nature or location.