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We propose a new paradigm where intelligent knowledge management is integrated into the conceptual repository of management information.
In order to facilitate the use of these TRIZ models and knowledge sources, an intelligent knowledge management system – IngeniousTRIZ was developed in this research.
Through divergence analysis, correlation analysis, and implication analysis, a flow chart of knowledge cultivating algorithm has been designed, and an intelligent knowledge management platform has been developed.
We unveil the relevance of transient memory that underlines the utility of the above mechanisms for intelligent knowledge management in artificial sensorimotor systems.
Invest in intelligent knowledge management systems.
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We explore semantic relatedness as a means of facilitating the development of more "intelligent" engineering knowledge management systems.
The lessons learnt from building DO4MG for this domain could be beneficial in general to the theory and practice of intelligent decision support and knowledge management in complex problem domains.
For sustainable knowledge management and more intelligent decision support it is beneficial to collect, consolidate, store and share these experiences in a form of a knowledge base or domain ontology.
Our study focuses on an intelligent framework and a language for formalizing knowledge management descriptions and combining them with an existing Open Systems Interconnection (OSI) management model.
This paper presents DOCK, a methodology to design an intelligent knowledge-based system that aims to support the knowledge management process.
Ontologies are becoming increasingly important in a variety of different fields, such as intelligent searching on the web, knowledge sharing and reuse, knowledge management, etc.
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CEO of Professional Science Editing for Scientists @ prosciediting.com