MEDCollector: Multisource Epidemic Data Collector
Autor: | Mário J. Silva, João Zamite, Fabricio Alves Barbosa da Silva, Francisco M. Couto |
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Rok vydání: | 2010 |
Předmět: |
0303 health sciences
Data collection Computer science Perspective (graphical) Interoperability Data collector 02 engineering and technology Ontology (information science) Modularity Data science Upload 03 medical and health sciences Consistency (database systems) Workflow 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 030212 general & internal medicine 030304 developmental biology Information integration |
Zdroj: | Information Technology in Bio-and Medical Informatics, ITBAM 2010 ISBN: 9783642150197 ITBAM Transactions on Large-Scale Data-and Knowledge-Centered Systems IV ISBN: 9783642237393 |
Popis: | 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. |
Databáze: | OpenAIRE |
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