Industrial Knowledge Management: A Micro-level Approach - Softcover

Inhaltsangabe

1: Foundation.- Micro-Scale Knowledge Management: a necessary condition for getting corporate knowledge properly implemented.- Foundation of Knowledge Systematization: Role of Ontological Engineering.- A Conceptual Model for Capturing and Reusing Knowledge in Business-Oriented Domains.- Domain Knowledge in Engineering Design: Nature, Representation, and Use.- Selecting and Generating Concept Structures.- Evaluating Verification and Validation Methods in Knowledge Engineering.- 2: Frameworks.- Design Knowledge Acquisition and Re-Use Using Genetic Engineering-Based Genetic Algorithms.- A Web-Based Framework for Integrating Knowledge.- Re-Design Knowledge Analysis, Representation and Re-Use.- Project Memory in Design.- Micro Knowledge Management: A Job Design Framework.- Building the KDD Roadmap: A Methodology for Knowledge Discovery.- 3: Theory to Practice.- Supporting Virtual Communities of Practice.- Managing Micro- and Macro-level Design Process Knowledge across Emergent Internet Information System Families.- The Development of Case-Based Reasoning for Design - Techniques and Issues.- An Internet-Based Approach to the Capture and Reuse of Knowledge in Design.- Ontology-Driven Knowledge Management: Philosophical, Modelling and Organizational Issues.- 4: Tools.- Micro-Modelling of Business Processes for Just-in-Time Knowledge Delivery.- Just-in-Time Knowledge Support.- STEP PC: A Generic Tool for Design Knowledge Capture and Reuse.- WebGrid: Knowledge Elicitation and Modelling on the World Wide Web.- Mapping for Reuse in Knowledge-Based Systems.- Mining Very Large Databases to support Knowledge Exploration.- 5: Industrial Case Study.- Knowledge Management for the Strategic Design and Manufacture of Polymer Composite Products.- Cutting Tool Design Knowledge Capture.- An Organic Architecture for Distributed Knowledge Management.- Life-cycle knowledge management in the design of large made-to-order (MTO) products.- A Case-Study on Manufacturing Knowledge Capture: XPat to CommonKADS.- CommonKADS and Use Cases for Industrial Requirements Gathering.- 6: The Future.- Model Framework for Sharing of Engineering Practice Knowledge through ubiquitous networks of Learning Communities.- Managing Engineering Knowledge Federations.- Languages for Knowledge Capture and their Use in Creation of Smart Models.- Ontologies for Knowledge Management.- 7: Resource Guide.

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