Cognition enhanced Natural language Information Analysis MethodCognition enhanced Natural language Information Analysis Method (CogNIAM) is a conceptual fact-based modelling method, that aims to integrate the different dimensions of knowledge: data, rules, processes and semantics. To represent these dimensions world standards SBVR, BPMN and DMN from the Object Management Group (OMG) are used. CogNIAM, a successor of NIAM, is based on the work of knowledge scientist Sjir Nijssen.[citation needed] CogNIAM structures knowledge, gathered from people, documentation and software, by classifying it. For this purpose CogNIAM uses the so-called ‘Knowledge Triangle’.[1] The outcome of CogNIAM is independent of the person applying it. The resulting model allows the knowledge to be expressed in diagrammatic form as well as in controlled natural language.[2] The different dimensions of knowledgeCogNIAM recognises 4 different dimensions of knowledge:
These dimensions influence each other heavily. Rules restrict data, Semantics describe the concepts and terms used in processes etc., therefore The aim of CogNIAM is to integrate these different dimensions. Structuring knowledgeAs mentioned earlier, CogNIAM classifies knowledge using the knowledge triangle . The knowledge that can be mapped to the knowledge triangle is structurally relevant and can be verbalised. Knowledge that cannot be verbalised, for example the ‘Mona Lisa’, is not included. Also the knowledge must be structurally relevant. Not structurally relevant is for example motivation (the why?). It is important information, but it is not an added value to the model.[3] The remaining knowledge can be mapped to the knowledge triangle. The knowledge triangle consists of three levels
The majority of knowledge consists of concrete facts. Facts describe possible current, past or future states. In CogNIAM a fact is defined as “a proposition taken to be true by a relevant community”.[4] An example of a level 1 fact is:
In this level the rules that govern the facts of level 1 are specified. For the example above a rule governing the level 1 facts could be “a country has exactly one capital”. This is a rule that ensures no untrue states or disallowed transitions between different states can occur at level 1. Besides rules level 2 contains six more knowledge categories, which are discussed in the next chapter.
This level is not associated to any specific domain, it says nothing about capitals or countries. As level 2 governs the facts on level 1, the generic level governs the knowledge categories of level 2. It consists of the same knowledge categories, but here they are applied to the content of level 2. In other words, level 3 contains the rules that determine the rules. The generic level can also be seen as a domain-specific level with the domain being ‘domain-specific knowledge’. As a result, level 3 also governs itself. Knowledge categoriesLevel 2 and 3 of the knowledge triangle consist of seven knowledge categories:
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