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Knowledge Engineering and Management : The Commonkads Methodology

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A. th Schreiber (Editor), Guus Schreiber
December 1999, MIT Press, Hardcover, 465 pages, ISBN 0262193000

Instructor-led, virtual, and self-paced training for Business Analysts What Do Business Analysts Do?
How to Elicit (Gather), Write, and Analyze Business Requirements
How to Initiate Requirements Gathering with User Stories
How to Model, Analyze, and Improve Business Processes
How to Model, Analyze, and Improve Business Data
How to Define and Document Use Cases
How to Elicit Business System Requirements
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for today's Business System Analysts (BA's) and Subject Matter Experts (SME's)

Summary
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The disciplines of knowledge engineering and knowledge management are closely tied. Knowledge engineering deals with the development of information systems in which knowledge and reasoning play pivotal roles. Knowledge management, a newly developed field at the intersection of computer science and management, deals with knowledge as a key resource in modern organizations. Managing knowledge within an organization is inconceivable without the use of advanced information systems; the design and implementation of such systems pose great organization as well as technical challenges.

"The book covers in an integrated fashion the complete route from corporate knowledge management, through knowledge analysis and engineering, to the design and implementation of knowledge-intensive information systems. The CommonKADS methodology, developed over the last decade by an industry-university consortium led by the authors, is used throughout the book. CommonKADS makes much use of the new UML notation standard. Beyond information systems applications, all software engineering and computer systems projects in which knowledge plays an important role stand to benefit from the CommonKADS methodology."--BOOK JACKET.

 
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BA books: Table of Contents
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Preface
 
1. Prologue: The Value of Knowledge
2. Knowledge-Engineering Basics
3. The Task and Its Organizational Context
4. Knowledge Management
5. Knowledge Model Components
6. Template Knowledge Models
7. Knowledge Model Construction
8. Knowledge-Elicitation Techniques
9. Modelling Communication Aspects
10. Case Study: The Housing Application
11. Designing Knowledge Systems
12. Knowledge-System Implementation
13. Advanced Knowledge Modelling
14. UML Notations Used in CommonKADS
15. Project Management
 
App. Knowledge-Model Language
Glossary of Graphical Notations
References
Index
 
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Author info
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Guus Schreiber and Robert de Hoog are Associate Professors, and Bob Wielinga is Professor, of Social Science Informatics at the University of Amsterdam. Hans Akkermans is Professor of Business Informatics at the Free University of Amsterdam. Anjo Anjewierden is Senior Researcher at the University of Amsterdam. Nigel Shadbolt is Professor of Psychology at the University of Nottingham. Walter Van de Velde is Research Director of Starlab, Belgium.

 
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Requirements
  Business Rules
Prototyping
Requirements Analysis
Requirements Definition
Requirements Documentation
Requirements Engineering
Requirements Management
Requirements Traceability
User Interfaces
Miscellaneous
Requirements Validation
  Acceptance Testing
Test Cases
Test Data Engineering
Test Planning
Testing Tools
Business Process Modeling (BPM)
  Data Flow Diagrams
Decision Tables
Process Analysis
Process Improvement (BPI)
Process Models
Facilitation
  Conducting Meetings
JAD
Miscellaneous
Data Analysis
  Data Models
Miscellaneous
NEW RELEASES
Business Systems Analysis
Best Practices
Interviewing Techniques
Methodologies
Problem Analysis
Request for Proposal (RFP)
Requirements Elicitation
Task Analysis
Unified Modeling Language (UML)
Use Cases
Workflow Analysis
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