Expert systems for configuration at Digital: XCON and beyond
Communications of the ACM
On the relative expressiveness of description logics and predicate logics
Artificial Intelligence
Part-whole relations in object-centered systems: an overview
Data & Knowledge Engineering - Special issue on modeling parts and wholes
The object constraint language: precise modeling with UML
The object constraint language: precise modeling with UML
Product Configuration Frameworks-A Survey
IEEE Intelligent Systems
Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
OIL: An Ontology Infrastructure for the Semantic Web
IEEE Intelligent Systems
Semantic Configuration Web Services in the CAWICOMS Project
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Towards a general ontology of configuration
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
An overview of knowledge‐based configuration
AI Communications
Towards a generic model of configuraton tasks
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A native ontology approach for semantic service descriptions
AOW '06 Proceedings of the second Australasian workshop on Advances in ontologies - Volume 72
The illusion of tacit knowledge as the great problem in the development of product configurators
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
| Hi-index | 0.00 |
The Semantic Web will provide the conceptual infrastructure to allow new forms of business application integration. This paper outlines our approach for integrating Web-based sales systems for highly complex customizable products and services (configuration systems) making use of descriptive representation formalisms of the Semantic Web. The evolving trend towards highly specialized solution providers cooperatively offering configurable products and services to their customers requires the extension of current (standalone) configuration technology with capabilities of knowledge sharing and distributed configuration problem solving. On the one hand, a standardized representation language is needed in order to tackle the challenges imposed by heterogeneous representation formalisms of state-of-the-art configuration environments (e.g. description logic or predicate logic based configurators), on the other hand it is important to integrate the development and maintenance of configuration systems into industrial software development processes. We show how to support both goals by demonstrating the applicability of the Unified Modeling Language (UML) for configuration knowledge acquisition and by providing a set of rules for transforming UML models into configuration knowledge bases specified by languages such as OIL or DAML+OIL which represent the foundation for potential future description standards for Web services.