CAPEUS: An Architecture for Context-Aware Selection and Execution of Services
Proceedings of the IFIP TC6 / WG6.1 Third International Working Conference on New Developments in Distributed Applications and Interoperable Systems
An ontology for context-aware pervasive computing environments
The Knowledge Engineering Review
Sharing hierarchical context for mobile web services
Distributed and Parallel Databases
COCOA: COnversation-based service COmposition in pervAsive computing environments with QoS support
Journal of Systems and Software
A Geo-Located Web Services Architecture for next generation mobile networks
International Journal of Web and Grid Services
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Semantic Filtering for DDL-Based Service Composition
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Semantics-based context-aware dynamic service composition
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Pervasive and Mobile Computing
An operational definition of context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
A dynamic description logic for representation and reasoning about actions
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Journal of Network and Computer Applications
Review: A framework for awareness maintenance
Journal of Network and Computer Applications
Mining frequent agent action patterns for effective multi-agent-based web service composition
ADMI'11 Proceedings of the 7th international conference on Agents and Data Mining Interaction
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In order to achieve more flexible and intelligent service composition, the context information should be fully utilized. Although many context-related approaches have been proposed to support the dynamic service composition, the context representation and management remains an open problem. In this paper, we propose a multi-granularity context model which effectively exploits the relationships among different context attributes, together with the corresponding multi-granularity context management approach to strengthen the flexibility and intelligence of dynamic service composition. The proposed multi-granularity context model makes it possible to achieve dynamic service composition through logical reasoning. A case study together with comparison analysis are presented to illustrate the validity of our approach.