Constraint satisfaction and debugging for interactive user interfaces
Constraint satisfaction and debugging for interactive user interfaces
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
PIKM 2010: ACM workshop for ph.d. students in information and knowledge management
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Emerging multidisciplinary research across database management systems
ACM SIGMOD Record
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In service-oriented environments, keeping track of the composition process along with the data transformations and services provides a rich amount of information for later reasoning. Current exploitation and application of this information, which is referred to as provenance data, is very limited as provenance systems started being developed for specific applications. Therefore, there is a need for a multi-functional architecture, which would be application-independent and could be deployed in any area. In this paper, we present an architecture, which exploits provenance information to target the current challenges of workflows. These challenges include workflow composition, abstract workflow selection, refinement, evaluation, and graph model extraction.