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kBOS Applied Knowledge Engineering Methodologyknowledge management

kBOS Applied Knowledge Engineering Methodology

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11/25/2015 2:08:40 PM
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The Knowledge Model

Knowledge is defined as usable information in a specific context (P Katsoulakos 94).

Our knowledge definition implies that information becomes knowledge when it is re-usable in a specific context through the reasoning/learning capabilities of the agent (person or computer) using the knowledge. In this sense, we can think of knowledge as actionable information with a value associated with the result of that action.


The kBOS definition endorses the view of knowledge as “capacity to act” and provides a handle for developing and managing this capacity. This handle is the pattern specified by information and context, which can be used to activate a fixed set of actions.

The starting point is some incoming information.  When a person receives information that he has to act upon, he first creates associations (context) to help him interpret it in order to decide what to do (actions).  What to do is often an orderly sequence of actions, which in a business context reflect the main activities in a process, which we term tasks.  

Generally, knowledge enables different type of tasks to be performed by people or computers taking into account factors that influence the way the task should be performed. Therefore, a task triggered by incoming information and the factors affecting its execution generate a pattern. Such ‘task patterns’ embody both a consistency and completeness of relations and create context of variable complexity. This context then activates the fixed set of actions, which demonstrate the use of knowledge.


Knowledge is represented by three entities:

·   Information

·   Actions

·   Context.



Knowledge Actions

The knowledge nucleus is represented by information linked to the actions that transform information to knowledge in a specified context. The implication is that in a given context every expert or ‘intelligent’ system should respond with the same actions to an information input. This implies that actions also represent the available options on how information can be used.  People use their knowledge to select and execute an appropriate sequence of actions. In computer systems, knowledge, for example, in the form of rules will be used in exactly the same way to automate the sequence and execution of actions.

From an information systems perspective actions can be regarded as object methods or workflow actions. Typical actions familiar to everyone are edit, delete, save and in a workflow situation the ‘send’ action will initiate the next activity. Actions can also represent complex algorithmic manipulations such as ‘compare’, ‘plan’ or ‘design’. Both, the different types of actions and their characteristics will affect the value of the represented knowledge. 


Context and information create a pattern that represents knowledge associated with a set of fixed but possibly different types of actions.  

Patterns representing knowledge have a tendency to be more self-contextualizing. That is, the pattern tends to create its own context rather than being context dependent to the same extent that information is. A pattern, which represents knowledge, provides a high level of predictability as to how the pattern will evolve over time. Pattern dynamics are therefore a crucial aspect of the way dynamic capabilities can be developed.


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