Stammdaten

Titel: A Framework for Rapid Development of Advanced Web-based Configurator Applications
Untertitel:
Kurzfassung: For the last two decades product configurators relying on Artificial Intelligence techniques have been successfully applied in industrial environments. These systems support the configuration of complex products and services in shorter time with fewer errors and therefore reduce costs of a mass-customization business model. The EU-funded CAWICOMS project aims at the next generation ofWebbased configurator applications that cope with the new challenges of today’s open, networked economy: this includes the support for heterogeneous user groups in an open market environment as well as the integration of configurable sub-products provisioned by specialized suppliers. This paper describes the CAWICOMS Workbench for the development of configurator applications that support both adaptive and personalized user interaction as well as distributed configuration of products in a supply chain. The developed tools and techniques rely on a harmonized knowledge representation and knowledge acquisition mechanism, open XML-based protocols, and advanced distributed reasoning techniques. We applied the workbench based on the real-world business scenario of distributed configuration of services in the domain of IP-based Virtual Private Networks. Keywords: Distributed product configuration, adaptive interfaces
Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Erscheinungsdatum: 2002 (Print)
Erschienen in: Proc. 15th European Conference on Artificial Intelligence - Prestigious Applications of Intelligent Systems (PAIS), Lyon, France
Proc. 15th European Conference on Artificial Intelligence - Prestigious Applications of Intelligent Systems (PAIS), Lyon, France
zur Publikation
 ( IOS Press; F. v. Harmelen )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Seite: S. 618 - 622

Versionen

Keine Version vorhanden
Erscheinungsdatum: 2002
ISBN:
  • 1-58603-257-7
ISSN: 0922-6389
Homepage: -

Zuordnung

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

Kategorisierung

Sachgebiete Kein Sachgebiet ausgewählt
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: n.a.)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt

Kooperationen

Keine Partnerorganisation ausgewählt

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden