Logical foundations of artificial intelligence
Logical foundations of artificial intelligence
TOOLS '02 Proceedings of the 12th International Conference on Computer Performance Evaluation, Modelling Techniques and Tools
How far are we from the definition of a common software performance ontology?
Proceedings of the 5th international workshop on Software and performance
Performance assessment on ambient intelligent applications through ontologies
Proceedings of the 5th international workshop on Software and performance
Web operational analysis through performance-related ontologies in OWL for intelligent applications
ICWE'05 Proceedings of the 5th international conference on Web Engineering
Definition and use of Computation Independent Models in an MDA-based groupware development process
Science of Computer Programming
OWL/SWRL representation methodology for EXPRESS-driven product information model
Computers in Industry
Towards Industrial Strength Business Performance Management
HoloMAS '07 Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
Web performance engineering based on ontological languages and semantic web
International Journal of Computer Applications in Technology
An integrated framework for performance-based optimization of scientific workflows
Proceedings of the 18th ACM international symposium on High performance distributed computing
Ontology-driven analysis of UML-based collaborative processes using OWL-DL and CPN
Science of Computer Programming
Designing an intelligent ontological system for traffic light control in isolated intersections
Engineering Applications of Artificial Intelligence
Situation-based and self-adaptive applications for the smart environment
Journal of Ambient Intelligence and Smart Environments
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Several techniques and applications have been proposed to aid the decision taking process in the system performance domain. Most of these techniques have depicted the performance model of systems through annotations of performance measurements coming from specific software descriptive syntactical languages. However, the semantic representation of performance information provides the possibility of its ulterior machine-processable logical interpretation and therefore the applicability of inference rules about a particular domain. Moreover, ontologies ease the interchange and reuse of knowledge of particular domains, e.g. system performance. In this work, we propose a performance ontology together with the system performance analysis technique as an example of framework building for intelligent applications based on semantic web. The paper also shows the construction of performance rules through OWL to automatically infer new performance constraints and QoS knowledge about the system on execution.