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Enterprise Knowledge Management

DF22000, 2009HT

Status Archive
School Computer and Information Science (CIS)
Division HJ
Owner Kurt Sandkuhl

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Course plan

No of lectures

Intensive course consisting of 5-6 day sessions

Recommended for

Doctoral students in informatics and computer science.

The course was last given

This is a new course.


In knowledge-intensive industries and service sectors, the implementation and continuous improvement of organizational knowledge management approaches have become important elements in maintaining competitiveness on a global market. Research on concepts, methods, approaches and technologies in the wide area of knowledge management have contributed to this objective, covering a wide spectrum from social sciences to engineering sciences and including so diverse areas as human resource management, social practices for knowledge work, knowledge discovery and retrieval techniques or organizational memory solutions.
In this wide area of knowledge management, this PhD course will focus on approaches and technologies of enterprise knowledge management. Enterprise Knowledge Modeling refers to construction, application and maintenance of knowledge models for clearly defined enterprises purposes including the relevant methods, tools and techniques. Not in the scope of the course are organizational or economic aspects of enterprise knowledge management, as this aspects are addressed in other, specialized courses. Furthermore, knowledge representation approaches and their underlying theories are only touched with respect to their applicability in enterprise knowledge management. Even in this area, specialized courses are available.

To provide an overview to the area of enterprise knowledge management; to understand essential principles and concepts of in this area;
To introduce basic feature and architectures of knowledge portals including example systems
To introduce and understand semantic technologies in the context of enterprises;
To introduce and understand approaches for knowledge representation and knowledge logistics
To discuss use of bargaining theory in enterprise knowledge modeling context




Content Overview
• Introduction to Enterprise Knowledge Modeling (K. Sandkuhl)
• Semantic Technologies and Enterprise Knowledge Management (F. Ciravegna)
• Pattern-based Ontology Construction (A. Gangemi)
• Knowledge Logistics (A. Smirnov)
• Bargaining, optimal distribution of resources, and price anarchy (V. Mazalov)
• Knowledge Portals (K. Sandkuhl)


Research articles and lecture notes.


Course responsible and one of the teachers in the course will be Kurt Sandkuhl (Jönköping University). Furthermore, some of Europe’s leading researchers in the field will contribute to this PhD course, which offers a unique constellation for learning and reflection:
• Fabio Ciravegna, Sheffield University
• Aldo Gangemi, CNR-ISTC, Italy
• Vladimir Mazalov, Karelian Research Center, Russia
• Alexander Smirnov, St. Petersburg Institute for Informatics and Automation (Russia)


Kurt Sandkuhl


Active participation in seminars, different assignments or take-home-exams for the seminars


4,5 HEC (Higher Education Credits)
Possibility for additional 3 HEC for term paper.


The course is an intensive course consisting of 5-6 day sessions at Jönköping University. The course has no admission fee, but course participants (or the groups they belong to) pay their travel and any food or accommodation.

First two course sessions November 2nd and November 3rd.

Page responsible: Director of Graduate Studies