By Frank Lillehagen, John Krogstie
Enterprise Modeling has been outlined because the paintings of externalizing company wisdom, i.e., representing the middle wisdom of the company. even supposing valuable in product layout and platforms improvement, for modeling and model-based methods to have a extra profound impact, a shift in modeling ways and methodologies is important. Modeling may still develop into as normal as drawing, sketching and scribbling, and will supply robust companies for taking pictures work-centric, work-supporting and generative wisdom, for conserving context and making sure reuse. an answer is the applying of energetic wisdom Modeling (AKM).
The AKM expertise is set getting to know, externalizing, expressing, representing, sharing, exploring, configuring, activating, starting to be and handling company wisdom. An AKM answer is set exploiting the internet as an information engineering medium, and constructing knowledge-model-based households of systems, model-configured offices and services.
This e-book used to be written by way of the inventors of AKM bobbing up out in their cooperation with either scientists and commercial practitioners over a protracted time period, and the authors supply examples, instructions, tools and prone to allow new methods of operating, exploiting the AKM method of let powerful c-business, firm layout and improvement, and lifecycle administration. managers and layout engineers becomes conscious of the manifold probabilities of, and additional values in, IT-supported allotted layout techniques, and researchers for collaborative layout environments will locate plenty of stimulation and lots of examples for destiny advancements.
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The ideas and theories of data administration and networks are in the meantime good documented. but there are few, if any, guidance on how one can enforce wisdom administration inside a firm, specifically targeting easy methods to deal with wisdom in a community setting. This exhibits that coping with wisdom in networks is a slightly new and unexplored box.
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Extra resources for Active Knowledge Modeling of Enterprises
Automating Information Management Having semantic structures embedded in the information makes it possible to go one step further and identify rules, requirements, and exceptions from the same source of information. This can be done by further tagging of the information or by importing the information to “Reasoning Engines” or to knowledge modeling and execution platforms. The combination of semantic tagging and model-configured approaches, activating rules, exceptions, and requirements should enable effective data extraction directly from the information source to the user workplace.
AKM therefore has a new definition of knowledge: Knowledge is a continuous flux of reflective views between human minds and external media. To possess knowledge you must therefore acquire three or more views of any artifact or scene of action. Consequently, knowledge 18 1 What is Active Knowledge Modeling Technology? management is best performed by making sure that adequate role-specific views are created and configured, and by associating the views to the task-patterns defining, updating, and managing them.
Product model integration 2. Business process integration 3. Life-cycle support and integration 4. e-Business services development 5. Model-based engineering and solutions 1980–1990 1990–1995 1995–2000 2000–2005 2005–2010 Now, 30 years after the birth of the first major challenges, we are still devoting lots of resources to make these systems interoperate and exchange and correctly interpret data. The question is: should we rather spend our time designing new approaches to industrial computing?
Active Knowledge Modeling of Enterprises by Frank Lillehagen, John Krogstie