Master data

Title: UML as Domain Specific Language for the construction of Knowledge-Based Configuration Systems
Subtitle:
Abstract: In many domains, software development has to meet the challenges of developing highly adaptable software very rapidly. In order to accomplish this task, domain specific, formal description languages and knowledge-based systems are employed. From the viewpoint of the industrial software development process, it is important to integrate the construction and maintenance of these systems into standard software engineering processes. In addition, the descriptions should be comprehensible for the domain experts in order to facilitate the review process. For the realization of product configuration systems, we show how these requirements can be met by using a standard design language (UML-Unified Modeling Language) as notation in order to simplify the construction of a logic-based description of the domain knowledge. We show how classical description concepts for expressing configuration knowledge can be introduced into UML and automatically be translated into logical sentences. These sentences are exploited by a general inference engine solving the configuration task.
Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 06.1999 (Print)
Published by: 11th International Conference on Software Engineering & Knowledge Engineering
11th International Conference on Software Engineering & Knowledge Engineering
to publication
 ( Knowledge Systems Institute; Günther Ruhe )
Title of the series: -
Volume number: -
First publication: Yes
Page: pp. 337 - 345

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Keine Version vorhanden
Publication date: 06.1999
ISBN:
  • 1-891706-01-2
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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Subject areas No subject area selected
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Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
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Articles of the publication

No related publications