Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
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Context-mediated behavior for intelligent agents
International Journal of Human-Computer Studies - Special issue: using context in applications
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Context-based representation of intelligent behavior in training simulations
Transactions of the Society for Computer Simulation International
Simulation, verification and automated composition of web services
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Dynamic and adaptive composition of e-services
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An Overview of Standards and Related Technology in Web Services
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Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Ontologies: A Silver Bullet for Knowledge Management and Electronic Commerce
Providing architectural support for building context-aware applications
Providing architectural support for building context-aware applications
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Learning to map between structured representations of data
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The VLDB Journal — The International Journal on Very Large Data Bases
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In this paper, we propose a novel matching framework for Web service composition. The framework combines the concepts of Web service, context, and ontology. We adopt a broad definition of context for Web services, encompassing all information needed for enabling interactions between clients and providers. Context-based matching for Web services requires dealing with three major research thrusts: context categorization, modeling, and matching. We first propose an ontology-based categorization of contextual information in Web service environments. We then define a two-level mechanism for modeling Web service contexts. In the first level, service providers create context specifications using category-specific Web service languages and standards. In the second level, context specifications are enveloped by policies (called context policies) using WS-Policy standard. Finally, we present a peer-to-peer architecture for matching context policies. The architecture relies on a context matching engine, context policy assistants, and context community services. Community services implement rule-based techniques for comparing context policies.