Knowledge Infrastructures:
Re-Engineering for Learning

Powerpoint Presentation

Talk Abstract:

In this talk, I will present the knowledge infrastructure as a means for implementing a learning organization. Starting from an analysis of the types of learning processes that could (or should) occur in organizations, I will describe a number of mechanisms that organisations could install to maximize their learning capabilities. Together, these mechanisms form the knowledge infrastructure of the organisation. I will argue that the suitability of a particular knowledge infrastructure depends on the culture of the organization, the environment in which the organisation operates, and - most importantly - on the knowledge policy of the organization. Then, I will concentrate on ways in which information technology, and artificial intelligence in particular, can be used to implement 'knock your socks off' knowledge infrastructures.

Brief CV of Dr. van Heijst:

I studied psychology in Tilburg and cognitive Science in Nijmegen. I worked for 6 years at SWI at the university of Amsterdam with Bob Wielinga and Guus Schreiber on several Esprit Projects (KADS, GAMES-II, Acknowledge). Wrote a PhD thesis 'the role of ontologies in knowledge engineering' in 1995. I now work for almost two years as a knowledge management consultant, and I've done projects with Dutch Railways, Dutch Police, several financial institutions and government.

Selected Publications:

• van Heijst, G., van der Spek, R. & Kruizinga, E. (1997) Corporate Memories as a tool for knowledge management, Journal of expert systems and their applications (in press).
• Kruizinga, E., van Heijst G. & van der Spek, R. (1997) Re-engineering for learning (part 1), knowledge management , Vol 1 Nr 1
• Kruizinga, E., van Heijst G. & van der Spek, R. (1997) Re-engineering for learning (part 2), knowledge management , Vol 1 Nr 2, (in press)
• Beys, P., Benjamins R. & van Heijst, G. (1997) Task-Neutrality: An Essential Factor for Reuse?. In proceedeings of KEML `97.
• van Heijst, G., Schreiber, A. & Wielinga, B. (1997) Roles are not Classes: a Reply to Nicola Guarino. International Journal of Human-Computer Studies, Volume 46, pages 311-318.
• van Heijst, G., Schreiber, A. & Wielinga, B. (1997) Using Explicit Ontologies in KBS development. International Journal of Human-Computer Studies, Volume 46, pages 183-292.
• Kruizinga, E., van Heijst G. and van der Spek, R. (1996), Knowledge Management and Knowledge Infrastructures, Sigois Bulletin, Volume 17, No 3 (December 1996).
• Beys, P., Benjamins, R. & van Heijst, G. (1996) Remedying the Reusability -- Usability Tradeoff for Problem-Solving Methods, paper presented at the 10th KAW, workshop for knowledge acquisition, knowledge modeling and knowledge management, Banff, Canada
• van Heijst G., van der Spek, R. and Kruizinga, E. (1996), Organizing Corporate Memories, paper presented at the 10th KAW, workshop for knowledge acquisition, knowledge modeling and knowledge management, Banff, Canada
• Benjamins, R. & van Heijst, G. (1996) Modeling Multiple Models. Proceedings of CESA-96, France, 1996.
• van Heijst, G. & Anjewierden, A. (1996) Four Proposisitons Concerning the Specification of Problem Solving Methods, position Paper Presented at the ninth European Knowledge Acquisition Workshop (EKAW '96), Nottingham, UK.
• van Heijst, G., Falasconi, S., Abu-Hanna, A., Schreiber, A. and Stefanelli, M. (1995) A Case Study in Ontology Library Construction, Artificial Intelligence in Medicine, Volume 7, pages 227-255.
• van Heijst, G. (1995) The Role of Ontologies in Knowledge Engineering, PhD thesis, University of Amsterdam.
• van Heijst, G, Lanzola, G., Schreiber, A. and Stefanelli, M. (1994) Foundations for a Methodology for Medical KBS Development, Knowledge Acquisition, Volume 6, pages395-433.
• van Heijst, G. & Schreiber, A. (1994) CUE: Ontology-based Knowledge Acquisition, in L. Steels, A. Th. Schreiber & W. Van de Velde, editors, A Future for Knowledge Acquisition, Proceedings of the 8th European Knowledge Acquisition Workshop EKAW'94, Volume 867 of Lecture Notes in Artificial Intelligence, pages 178-199, Springer-Verlag, Berlin/Heidelberg.
• van Heijst, G., Post, W., and Schreiber, A. (1994) Knowledge-Based Integration of Representation Formalisms, in A. Cohn, editor, Proceedings of the 11th European Conference On Artficial Intelligence, pages 319-323, Wiley, London. Schreiber, A.,
• van Heijst, G.. Lanzola, G. and Stefanelli, M. (1993) Knowledge Organisation in Medical KBS Construction, in S. Andreassen, R. engelbrecht and J. Wyatt, editors, Artificial Intelligence in Medicine, pages 394-405, IOS Press.
• Allemang, D. & van Heijst, G.(1993) Generic Tasks in KEW, in N. Aussenac, G. Boy, B. Gaines, M. Linster, J.-G. Ganascia, Y. Kodratoff , editors, Knowledge Acquisition for Knowledge-Based Systems. Proceedings of the 7th European Workshop EKAW'93, Volume 723 of Lecture Notes in Computer Science, pages 139-158, Springer-Verlag, Berlin Heidelberg.
• Terpstra, P., van Heijst, G., Wielinga, B. and Shadbolt N. (1993) Knowledge Acquisition Support Through Generalised Directive Models,in David, J.,Krivine, J.P., & Simmons, R., editors, Second Generation Expert Systems, pages 428-455, Springer-Verlag, Berlin Heidelberg.
• van Heijst, G., Terpstra, P., Wielinga, B. and Shadbolt N. (1992) Generalised Directive Models, paper presented at the 7th KAW, workshop for knowledge acquisition, knowledge modeling and knowledge management, Banff, Canada
• van Heijst, G., Terpstra, P., Wielinga, B. and Shadbolt N. (1992) Using Generalised Directive Models in Knowledge Acquisition ,in Th. Wetter,K.D. Althoff, J. Boose, B. Gaines, M. Linster, F. Schmalhofer, editors, Current Developments in Knowledge Acquisition: EKAW-92, Springer-Verlag, Berlin/Heidelberg.