Master data

Title: Generating product configuration knowledge bases from precise domain extended UML models
Subtitle:
Abstract: The Unified Modeling Language (UML) is an emerging standard conceptual modeling language in Software Engineering processes. UML provides extension mechanisms (stereotypes) to adapt the general modeling language to specific application domains. In addition, UML comprises the standardized expression language Object Constraint Language (OCL) to model additional invariants. In this paper we show how UML can be extended using the standardized extension mechanisms to fit the needs of the domain of knowledge-based product configuration. Starting from a conceptual product model, we define the semantics of the employed extensions based upon a logic theory of configuration in a way that the resulting knowledge bases can be processed by a specialized inference engine. We show especially how the built-in expression language OCL can be employed to enhance the expressiveness of the conceptual models and how such expressions can be translated to the logical model. Finally, we describe a prototype implementation of the presented ideas based on commercial tools.
Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 2000 (Print)
Published by: 12th International Conference on Software Engineering and Knowledge Engineering (SEKE´2000)
12th International Conference on Software Engineering and Knowledge Engineering (SEKE´2000)
to publication
 ( Knowledge Systems Institute; Dan Cooke )
Title of the series: -
Volume number: -
First publication: Yes
Page: pp. 284 - 293

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Keine Version vorhanden
Publication date: 2000
ISBN:
  • 1-891706-05-5
ISSN: -
Homepage: -

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Artificial Intelligence und Cybersecurity
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993705
   aics-office@aau.at
https://www.aau.at/en/aics/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

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Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
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