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An Enterprise Reference Scheme for Integrating Model Based Knowledge Engineering and Enterprise Modelling

  • In recent years the demand on business process modelling (BPM) became apparent in many different communities, e.g. information systems engineering, requirements engineering [KiB94], software engineering and knowledge engineering (e.g. [BrV94], [SWH+94]). This suggests to aim at a unifying view on business process modelling in all these disciplines. To achieve the business goals some problems which obstruct these goals must be solved. This can be done either by restructuring the business process, by application of standard software, or by developing individual software components such as knowledge based systems (KBSs). To be able to model business goals and to analyse problems occurring during the business processes these processes including organisational structures and activities have to be modelled. This is also true when building a KBS in an enterprise environment. Because the KBS is only a small part of the whole business organisation, it must be embedded into or at least linked to all relevant business processes, i.e. it should not be a stand-alone solution. For this purpose we extend the MIKE approach [AFS96] in the BMBF project WORKS (Work Oriented Design of Knowledge Systems) by offering business models for modelling relevant aspects of an enterprise. To be able to define an integrated framework with other possibilties to improve an enterprise (e.g. information systems engineering) we determine the standard views of an enterprise. Next we define the views, that are necessary for developing a KBS.

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Metadaten
Author:Stefan Decker, Manfred Daniel, Michael Erdmann, Rudi Studer
URN:urn:nbn:de:hbz:386-kluedo-1652
Document Type:Preprint
Language of publication:English
Year of Completion:1999
Year of first Publication:1999
Publishing Institution:Technische Universität Kaiserslautern
Date of the Publication (Server):2000/04/03
Tag:business process modelling; information systems engineering; requirements engineering
Note:
The work reported in this paper is partially supported by the BMBF (German Ministry of Education, Science,Research and Technology) under grant number 01HS014.
Faculties / Organisational entities:Kaiserslautern - Fachbereich Informatik
DDC-Cassification:0 Allgemeines, Informatik, Informationswissenschaft / 004 Informatik
Licence (German):Standard gemäß KLUEDO-Leitlinien vor dem 27.05.2011