Introduction

Introductory Material on Knowledge Management

Online Resources:

• What is Knowledge Management some early views published in the KM Forum.
• Principles of KM by T. H. Davenport
• Organizational Memory by Andreas Abecker, Otto Kühn, Stefan Decker (in German)
• AI Techniques for Knowledge Management. ECAI 2000 Tutorial by Decker & Staab.

 

Books

• Knowledge Engineering and Management: The CommonKADS Methodology by Guus Schreiber et al. (Eds.) MIT Press.
• The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. By Ikujiro Nonaka and Hirotaka Takeuchi. Oxford University Press, 1995
• Experience Management: Foundations, Development Methodology, and Internet-Based Applications by R. Bergmann. Springer, 2002.

Survey Papers

• Informatik-Methoden für das Wissensmanagement by Rudi Studer, Andreas Abecker, Stefan Decker (in German)
• The Knowledge Management Characterization Framework. by Newman and Conrad
• Description and Analysis of Existing Knowledge Management Frameworks by C. W. Holsapple & K. D. Joshi
• Wissensmanagement mit Ontologien und Metadaten by S. Staab (in German)

 

Introductory Material on Case-Based Reasoning

Tutorials

• Introduction to Case-Based Reasoning  A short Case-Based Reasoning online tutorial.

Books

• Inside Case-Based Reasoning by Riesbeck, C., Schank, R., Hillsdale, N.J.: Lawrence Erlbaum, 1989.

Distillations of a number of influential dissertations on case-based reasoning research, in addition to micro versions of CBR programs developed to facilitate experimentation.
• Case-Based Reasoning by Kolodner, J., San Francisco, California: Morgan Kaufmann, 1993

Easy understandable chapter of a German textbook on AI, explains the very basics of CBR.
• Fallbasiertes Schließen by Richter, Michael M., in: Görz, Günther; Rollinger, Claus-Rainer; Schneeberger, Josef (Editors), Handbuch der Künstlichen Intelligenz, chapter 11, 407 - 430, Oldenbourg-Verlag, München, Germany, 2002.

An extensive examination of CBR issues and survey of American CBR research.
• Case-Based Reasoning: Expriences, Lessons, & Future Directions by Leake, D., Menlo Park, California: AAAI Press, 1996.

The tutorial in chapter 2 of this volume presents a thorough discussion of key CBR principles and issues and how to develop CBR systems.
• Applying Case-Based Reasoning: Techniques for Enterprise Systems" by Ian Watson. Morcan Kaufmann, 1997.

Easy to read CBR introduction with focus on applications.
• Case-Based Reasoning Technology - From Foundations to Applications By Lenz, M., Bartsch-Spörl, B., Burkhard, H.-D., Wess, S. (Eds.), Lecture Notes in Artificial Intelligence 1400, Springer, 1998

A good overview about CBR technolgy in practical applications. Includes eCommerce applications of CBR.
• Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology By Bergmann, R,  Breen, S., Göker, M., Manago, M., Wess, S. (1999). Lecture Notes in Artificial Intelligence, State-of-the-Art-Survey, LNAI 1612, Springer Verlag.
• Experience Management: Foundations, Development Methodology, and Internet-Based Applications by R. Bergmann. Springer, 2002.

Survey Papers

• Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches by Aamodt, A. and Plaza, E., AI Communications, 7(1):39-59, 1994

A classical "must-read" paper. Principles of CBR and the '4 Re-s': Retrieve, Reuse, Revise, Retain.
• Case-Based Reasoning Support for Online Catalog Sales by Vollrath, I., Wilke, W., Bergmann, R., IEEE Internet Computing, 2 (4), 47-54, 1998.

How CBR can do intelligent sales support in on-line product catalogs