A Deposit for Digital Collections
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
The Data Playground: An Intuitive Workflow Specification Environment
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
uDesign: End-User Design Applied to Monitoring and Control Applications for Smart Spaces
WICSA '08 Proceedings of the Seventh Working IEEE/IFIP Conference on Software Architecture (WICSA 2008)
SKOS core: simple knowledge organisation for the web
DCMI '05 Proceedings of the 2005 international conference on Dublin Core and metadata applications: vocabularies in practice
MEDCollector: multisource epidemic data collector
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
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We present a novel approach for epidemic data collection and integration based on the principles of interoperability and modularity. Accurate and timely epidemic models require large, fresh datasets. The World Wide Web, due to its explosion in data availability, represents a valuable source for epidemiological datasets. From an e-science perspective, collected data can be shared across multiple applications to enable the creation of dynamic platforms to extract knowledge from these datasets. Our approach, MEDCollector, addresses this problem by enabling data collection from multiple sources and its upload to the repository of an epidemic research information platform. Enabling the flexible use and configuration of services through workflow definition, MEDCollector is adaptable to multiple Web sources. Identified disease and location entities are mapped to ontologies, not only guaranteeing the consistency within gathered datasets but also allowing the exploration of relations between the mapped entities. MEDCollector retrieves data from the web and enables its packaging for later use in epidemic modeling tools.