Foundations of logic programming; (2nd extended ed.)
Foundations of logic programming; (2nd extended ed.)
Data & Knowledge Engineering - Special issue on ER '96
Techniques for Supporting Dynamic and Adaptive Workflow
Computer Supported Cooperative Work
Distributed and Parallel Databases
On Structured Workflow Modelling
CAiSE '00 Proceedings of the 12th International Conference on Advanced Information Systems Engineering
Handling Dynamic Schema Change in Process Models
ADC '00 Proceedings of the Australasian Database Conference
Driving and Monitoring Provisional Trust Negotiation with Metapolicies
POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
Specification and validation of process constraints for flexible workflows
Information Systems
A survey and comparison of CSCW groupware applications
SAICSIT '06 Proceedings of the 2006 annual research conference of the South African institute of computer scientists and information technologists on IT research in developing countries
A framework for rapid integration of presentation components
Proceedings of the 16th international conference on World Wide Web
Providing Flexible Process Support to Project-Centered Learning
IEEE Transactions on Knowledge and Data Engineering
Advanced Policy Explanations on the Web
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
A dynamic workflow management system for coordination of cooperative activities
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
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Adaptive Web collaborative processes are flexible processes executed on the Web, that can configure themselves according to information not available at definition time. In this paper we show how such processes can be supported by integrating an engine for flexible process definition and execution, COOPER, and a policy engine, PROTUNE. The resulting framework is open in its nature, since it can integrate any (external) source of data. In particular, we show how our framework can exploit user profiles available on the Web to support process adaptivity.