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The methodology consists of five phases: business environment analysis, knowledge requirements analysis, knowledge management strategy establishment, knowledge management architecture design, and knowledge management implementation planning.
Synthesizing systems science, agent modeling and simulation, knowledge management architecture and domain theories, we explore the use of Agent-Based Modeling and Simulation (ABMS) for understanding individual, organizational, and societal levels of a hospitalization.
The paper will present an approach for the design of an interoperable knowledge management architecture that brings together concepts from agent-based control engineering and discrete event & hybrid modeling.
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For this reason, the objective of this paper is to develop a knowledge management systems architecture that seeks to bridge the gap between consultants and technologists.
It is necessary to develop Knowledge Management System architecture taking into account unpredictability of the situation: what kind of knowledge may be required and how it may be connected with the knowledge available.
These found their way via knowledge management to the architecture of the Semantic Web.
Architecture knowledge management (AKM) aims to codify and maintain the architectural knowledge of a software system in a form that can be easily accessed by different stakeholders.
The information related to neuron populations and molecules detected in the BST was expertly collated manually in a publicly available neuroinformatics system, the Brain Architecture Knowledge Management System (BAMS; http://brancusi.usc.edu/bkms).usc.edu/bkms
The supporting Brain Architecture Knowledge Management System (BAMS) Neuron ontology is online and its user interface allows queries about terms and their definitions, classification criteria based on the original literature and "Petilla Convention" guidelines, hierarchies, and relations with annotations documenting each ontology entry.
To understand the current status of software architecture knowledge engineering and future research trends, this paper compares five architectural knowledge management tools and the support they provide in the architecture life-cycle.
The paper provides a critical and evolutionary analysis of knowledge management (KM) in the AEC (architecture, engineering, construction) industry.
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