By Frank Lillehagen, John Krogstie
Enterprise Modeling has been outlined because the paintings of externalizing company wisdom, i.e., representing the center wisdom of the company. even supposing necessary in product layout and platforms improvement, for modeling and model-based ways to have a extra profound influence, a shift in modeling ways and methodologies is critical. Modeling should still turn into as traditional as drawing, sketching and scribbling, and will supply robust providers for shooting work-centric, work-supporting and generative wisdom, for conserving context and making sure reuse. an answer is the applying of lively wisdom Modeling (AKM).
The AKM expertise is ready researching, externalizing, expressing, representing, sharing, exploring, configuring, activating, turning out to be and coping with firm wisdom. An AKM answer is set exploiting the net as a data engineering medium, and constructing knowledge-model-based households of structures, model-configured places of work and services.
This publication was once written by way of the inventors of AKM coming up out in their cooperation with either scientists and commercial practitioners over a protracted time period, and the authors provide examples, instructions, tools and providers to permit new methods of operating, exploiting the AKM method of permit potent c-business, company layout and improvement, and lifecycle administration. managers and layout engineers becomes conscious of the manifold chances of, and additional values in, IT-supported allotted layout strategies, and researchers for collaborative layout environments will locate plenty of stimulation and lots of examples for destiny advancements.
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Extra info for Active Knowledge Modeling of Enterprises
Longer term adaptive and intuitive learning services, able to support learning through self-configuration from knowledge architecture contents and experiences of the learners’ behavior, should be supplied. Crossdisciplinary research on the synergies between learning and cognition in humans and machines should lead to systems able to identify learner’s requirements, intelligently monitoring progress, capable of exploiting learners’ abilities to let them learn faster. Learning services giving purposeful and meaningful advice to both learners and coaches for selflearning and for learning in collaborative environments should be developed.
Another approach can be found in the Government of Canada’s Federated Architecture (2001), where these principles are proposed: (1) Reduce integration complexity to reengineer application systems to be “highly modular” and “loosely coupled” to be able to reuse components; (2) Adopt holistic approach with a (whole of enterprise) approach; 38 2 Customer Challenges and Demands (3) Have business event-driven systems; (4) Plan for growth and construct for growth and expansion of services (known requirements) across enterprise; (5) Provide robustness, responsiveness, and reliability with appropriate redundancy to protect against system failure.
9 Towards Enterprise Visual Scenes 23 As indicated earlier, traditional enterprise modeling shows various inadequacies in many areas: representing enterprise knowledge, combining enterprise models, maintaining enterprise models, developing manageable structures of metamodels, enabling model-generated solutions, supporting dynamic user environments, and creating the link with software execution platforms. The solution of EM tool fallacies is to develop common core languages, services, modeling constructs, models, and metamodel structures based on a common infrastructure (Karlsen et al.
Active Knowledge Modeling of Enterprises by Frank Lillehagen, John Krogstie