Call for papers: Knowledge Management and Business Intelligence (KMBI 2005) Workshop, Kaiserslautern, Germany, April 10-13, 2005

3rd Conference Professional Knowledge Management: Experiences and Visions
Web links:
Motivation and Topics
Over the past years, the term business intelligence (BI) accompanied a change of focus within management support systems (MSS). Since the early 1980s MSS established as a concept for integrated reporting and analysis tools to support management tasks, but primarily in a passive, retrieval oriented way and based on past data. BI, however, promotes an active, model-based and prospective approach. In BI, intelligence is often defined as the discovery and explanation of hidden, inherent and decision-relevant contexts in large amounts of business and economic data. In an enhanced view, the subsequent phases of business decision processes, e.g. in strategic planning and management, are also included. The successful implementation of BI increasingly requires the systematic consideration and professional processing of knowledge types and sources, which so far have only been developed sparse, for example
  • to represent and distribute effectively the BI findings, both factual and model-like cognitions,
  • to apply instrumentally these cognitions to the modeling of decision support systems (DSS),
  • to customize effectively sophisticated methods like data mining or forecasting, and
  • to support the valid derivation and interpretation of action-oriented cognitions.
Among other things, former approaches in the sphere of expert systems were not able to obtain the expected success, because of their selective orientation to particular groups of methods and tools, usage and user domains or decision phases. Yet, in particular the authors, carriers and users of this prevailing qualitative knowledge of facts and processes are generally distributed on groups of employees, which are organizationally seperated and concerning business processes less integrated. Examples are on the one hand staff divisions of IT and operations research and on the other hand heads of the marketing & sales department. To realize an effective and efficient success of business intelligence in terms of business performance management (BPM) the establishment of a portal-oriented, (inter)active platform of information and communication seems to be essential.
Both preceding workshops on WM'2001 and WM'2003 already evinced the way how concepts and methods of knowledge management can be applied successfully to support similar problems and tasks of the abovementioned first MSS generation. Thus, the goal of this subsequent workshop is to extend the spectrum of the "integration of knowledge management and MSS" to the focus of business intelligence. Thereby the two following points of view should be considered equally and should be united:
  • discussion of concepts, methods, tools and standards to represent the knowledge of sophisticated BI-models and methods in order to improve the customizing of both model building and model usage in realistic decision support scenarios.
  • discussion of potentials and critical success factors of different approaches to integrate knowledge management within the scope of business intelligence, based on experiences of research labs as well as corporate practices and management consultants.
Accordingly, the workshop should encompass a more theoretical-scientifc basis part and a more empirical-practical application part. The requested contributions should focus on one of the two domains just mentioned and additionally should deal with at least one aspect of the "integration of knowledge management and business intelligence". Relevant aspects include but are not limited to:
  • Knowledge representation methods for BI
  • Choice of methods in BI
  • Customizing BI-methods
  • Knowledge management-driven BI-modelling
  • Model validation in BI
  • Result interpretation of BI-models
  • (case based) Representation of BI-application scenarios
  • Generalizing BI-application scenarios
  • Representation of process knowledge in BI
  • Fields of application for software agents
  • Fields of application for eLearning and tutorial systems
  • Incentive systems to activate the cooperation among method- and subject-specialists
  • Models of qualification and strategies for subject-specialists
  • Business applications of the integration of BI with knowledge management
Target Audience
Researchers and practitioners of the disciplines knowledge management, business intelligence, operations research, data mining, management support systems, data warehousing, executive and management information systems, decision support, expert systems, artificial intelligence; vendors (development department) of BI-solutions, business intelligence tools and knowledgeware; operational decision makers of the functions logistics, supply chain management (SCM), marketing/distribution, customer relationship management (CRM), information management, knowledge management as well as their assistant functions (information provider)
The contributions may be submitted (preferably) in English or in German and should not exceed more than five pages according to the LNCS-template. Please send an eMail with a PDF or Postscript-File of your contribution to or refer to:
Markus Gelhoet
Universität Osnabrück
Institut für Informationsmanagement und Unternehmensführung
Katharinenstraße 3
49069 Osnabrück

Tel.: ++49-541-969-4820
Fax.: ++49-541-969-14825

Relevant dates
September 3, 2004

Submission deadline for workshop contributions

October 11, 2004

Notification of acceptance or rejection of the papers

November 22, 2004

Camera-ready copy of the papers

All workshop participants have to register for the WM'2005 conference
It is intended to publish all accepted workshop contributions in a joined conference proceedings volume within the series "Lecture Notes in Computer Science" of Springer
At least one author of an accepted paper must register for the WM'2005 conference before the deadline for camera-ready-copies of the papers (Nov. 22, 2004). Otherwise the paper will not be published.
Timetable of Workshop
The timetable will be published soon.
Organizational Committee
Prof. Dr. Bodo Rieger, Universität Osnabrück (Vorsitz),
Dipl.-Kffr. Heike Dalinghaus, Universität Osnabrück,
Dipl.-Kfm. Markus Gelhoet, Universität Osnabrück,
Dipl.-Kfm. Michael Wolters, Universität Osnabrück,
Program Committee
Dr. Wolfgang Behme, Continental AG, Hannover
Prof. Dr. Peter Chamoni, Universität Duisburg
Prof. Dr. Dieter Ehrenberg, Universität Leipzig
Prof. Dr. Norbert Gronau, Universität Potsdam
Prof. Dr. Roland Gabriel, Universität Bochum
PD Dr. Peter Gluchowski, Universität Düsseldorf
Reiner Gratzfeld, Henkel KGaA, Düsseldorf
Prof. Dr. Wilhelm Hummeltenberg, Universität Hamburg
Dr. Bernd-Ulrich Kaiser, Bayer AG Leverkusen
Prof. Dr. Dimitris Karagiannis, WU Wien
Prof. Dr. Hans-Georg Kemper, Universität Stuttgart
Prof. Dr.-Ing. Peter Lehmann, Hochschule der Medien Stuttgart
PD Dr. Wolfgang Martin, unabhängiger Analyst, Annecy, France
Dr. Harry Mucksch, IT-Beratung und Services, Apen
Prof. Dr. Wolfgang Uhr, TU Dresden
Dr. Eitel von Maur, Universität St. Gallen

Prof. Dr. B. Rieger,
Markus Gelhoet,
Management Support Systems,
University of Osnabrück,

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