Convex Optimization
Expressive probabilistic description logics
Artificial Intelligence
Laconic and Precise Justifications in OWL
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
Extracting Modules from Ontologies: A Logic-Based Approach
Modular Ontologies
Ontology Integration Using ε-Connections
Modular Ontologies
A catalogue of OWL ontology antipatterns
Proceedings of the fifth international conference on Knowledge capture
A fine-grained approach to resolving unsatisfiable ontologies
Journal on data semantics X
Measuring inconsistency in probabilistic knowledge bases
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Repairing unsatisfiable concepts in OWL ontologies
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
Approaches to measuring inconsistent information
Inconsistency Tolerance
Artificial Intelligence in Medicine
A hybrid method for probabilistic satisfiability
CADE'11 Proceedings of the 23rd international conference on Automated deduction
Measuring and repairing inconsistency in knowledge bases with graded truth
Fuzzy Sets and Systems
Hi-index | 0.00 |
CADIAG-2 is a well known rule-based medical expert system aimed at providing support in medical diagnose in the field of internal medicine. Its knowledge base consists of a large collection of IF-THEN rules that represent uncertain relationships between distinct medical entities. Given this uncertainty and the size of the system, it has been challenging to validate its consistency. Recent attempts to partially formalize CADIAG-2's knowledge base into decidable Gödel logics have shown that, on formalization, the system is inconsistent. In this paper, the authors use an alternative, more expressive formalization of CADIAG-2's knowledge base as a set of probabilistic conditional statements and apply their probabilistic logic solver Pronto to confirm its inconsistency and compute its conflicting sets of rules under a slightly relaxed interpretation. Once this is achieved, the authors define a measure to evaluate inconsistency and discuss suitable repair strategies for CADIAG-2 and similar systems.