A theory of diagnosis from first principles
Artificial Intelligence
PREPARE: A Tool for Knowledge Base Verification
IEEE Transactions on Knowledge and Data Engineering
The influence of information presentation formats on complex task decision-making performance
International Journal of Human-Computer Studies
Let the Solver Deal with Redundancy
ICTAI '08 Proceedings of the 2008 20th IEEE International Conference on Tools with Artificial Intelligence - Volume 01
Electronic Commerce Research and Applications
ACM Computing Surveys (CSUR)
QUICKXPLAIN: preferred explanations and relaxations for over-constrained problems
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Anomalies in ontologies with rules
Web Semantics: Science, Services and Agents on the World Wide Web
Automated analysis of feature models 20 years later: A literature review
Information Systems
Personalized diagnoses for inconsistent user requirements
Artificial Intelligence for Engineering Design, Analysis and Manufacturing - Configuration
An efficient diagnosis algorithm for inconsistent constraint sets
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
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Configuration technologies are well established in different product domains such as financial services, cars, and railway interlocking stations. In many cases the underlying configuration knowledge bases are large and complex have a high change frequency. In the context of configuration knowledge base development and maintenance, different types of knowledge base anomalies emerge, for example, inconsistencies and redundancies. In this paper we provide an overview of techniques and algorithms which can help knowledge engineers and domain experts to tackle the challenges of anomaly detection and elimination. Furthermore, we show the integration of the presented approaches in the ICONE configuration knowledge base development and maintenance environment.