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Titlebook: Data Integration in the Life Sciences; 7th International Co Patrick Lambrix,Graham Kemp Conference proceedings 2010 Springer-Verlag Berlin

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https://doi.org/10.1007/978-3-642-15120-0biochemical systems; biological ontologies; data mining; information management; knowledge discovery; ont
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Provenance Management for Data Explorationecedented volume of data acquired by sensors, derived by simulations and analysis processes, and shared on the Web opens up new opportunities, but it also creates many challenges when it comes to managing and analyzing these data.
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https://doi.org/10.1007/978-1-60327-365-7tems. However, most of the information available in biomedical images remains underutilized in research projects. In this paper, we discuss the requirements and design of system support for composing, executing, and exploring in silico experiments involving microscopy images. This framework aims to
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Tools and Technologies for Building Cloudsogies is not an easy task and the resulting ontologies may have defects affecting the results of ontology-based data integration and retrieval. In this paper we present a system for debugging ontologies regarding an important kind of modeling defects. Our system supports a domain expert to detect an
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