A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Knowledge-Based System Diagnosis, Supervision, and Control
Knowledge-Based System Diagnosis, Supervision, and Control
Heterogeneous Agent Systems
IEEE Intelligent Systems
ITtalks: A Case Study in the Semantic Web and DAML+OIL
IEEE Intelligent Systems
Description logic programs: combining logic programs with description logic
WWW '03 Proceedings of the 12th international conference on World Wide Web
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
Verifying Time and Communication Costs of Rule-Based Reasoners
Model Checking and Artificial Intelligence
Web Semantics: Science, Services and Agents on the World Wide Web
Query Answering for OWL-DL with rules
Web Semantics: Science, Services and Agents on the World Wide Web
A better uncle for OWL: nominal schemas for integrating rules and ontologies
Proceedings of the 20th international conference on World wide web
Automated verification of resource requirements in multi-agent systems using abstraction
MoChArt'10 Proceedings of the 6th international conference on Model checking and artificial intelligence
Model checking workflow monitors and its application to a pain management process
FHIES'11 Proceedings of the First international conference on Foundations of Health Informatics Engineering and Systems
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Recent efforts towards the Semantic Web have resulted in powerful languages such as Semantic Web Rule Language (SWRL) based on OWL-DL and RuleML. Rule languages and inference engines incorporate reasoning capabilities to Semantic Web application systems. In this paper we present an approach for the design and specification of ontology-driven multi-agent rule-based systems. We use the Maude rewriting system and its Linear Temporal Logic (LTL) model checking tool to verify response time guarantees for the target systems. We present TOVRBA, an extended version of a verification tool developed by the first author, for ontology-driven multi-agent rule-based systems which allows the designer to specify information about agents' interactions, behavior, and execution strategies at different levels of abstraction. TOVRBA generates an encoding of the system for the Maude LTL model checker, allowing properties of the system to be verified. We illustrate the use of the framework on a simple healthcare system.