Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Decision support systems in the twenty-first century
Decision support systems in the twenty-first century
Combining fuzzy information from multiple systems
Journal of Computer and System Sciences
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
The Politics of Information Management
The Politics of Information Management
The Social Life of Information
The Social Life of Information
Enabling Knowledge Creation: New Tools for Unlocking the Mysteries of Tacit Understanding
Enabling Knowledge Creation: New Tools for Unlocking the Mysteries of Tacit Understanding
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Using ontologies to index conceptual structures for tendering automation
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
The New Knowledge Management: Complexity,Learning,and Sustainable Innovation
The New Knowledge Management: Complexity,Learning,and Sustainable Innovation
Enterprise Knowledge Management
Computer
Reasoning and Unification over Conceptual Graphs
Reasoning and Unification over Conceptual Graphs
Knowledge Representation and Reasoning
Knowledge Representation and Reasoning
Geometry and Meaning
A capability maturity model for knowledge-based decisionmaking
Information-Knowledge-Systems Management
A Basic Mathematical Framework for Conceptual Graphs
IEEE Transactions on Knowledge and Data Engineering
Multistrategy Operators for Relational Learning and Their Cooperation
Fundamenta Informaticae
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Knowledge management has emerged as a field blending a systems approach with methods drawn from organizational management and learning. In contrast, knowledge representation, a branch of artificial intelligence, is grounded in formal methods. Research in the separate behavioral and the structural disciplines - knowledge management and knowledge engineering - have not traditionally cross-pollinated, preventing the development of many practical uses. Organization managers lack guidance in where to direct improvement efforts targeted at specific groups of knowledge workers. Demonstrated here is Knowledge Improvement Measurement System, an optimization solution that employs marginal utility theory in a metric space, and formal reasoning via software agents realized in conceptual graphs. This allows for repeated evaluation of knowledge improvement measurements. The KIMS method can measure activities that organize and encourage knowledge sharing to achieve competitive advantage. The solution takes into account the body of knowledge related to human understanding and learning, and formal methods of knowledge organization.