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Enterprise Knowledge ManagementDF22000, 2009HT
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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.
Goals
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.
Goals
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
Prerequisites
Organization
Contents
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)
Literature
Research articles and lecture notes.
Lecturers
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)
Examiner
Kurt Sandkuhl
Examination
Active participation in seminars, different assignments or take-home-exams for the seminars
Credit
4,5 HEC (Higher Education Credits)
Possibility for additional 3 HEC for term paper.
Comments
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
