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Master Thesis

Gestion de données et de connaissances appliquée aux bioprocédés

Abstract : This work deals with the problem of computing biological process with the aim of make durable scientic data, raw data and context data. Aware that experiments, the former act before producing data, are not enough documented and are rarely reused, it tries to improve future use of data. This approach use business modelization of biological process, pointing out the concept of raw material, adding product and dierent kind of measurement. A hierarchy of comments, research thema is provided (event, operation, analysis...) and the instrumentation context concept is introduce. This analysis lead us to divide the information system in two part, a model for raw data which be implemented in a classical relational DB way and a semantic model build as an ontology which will use the semantic web technology. This system allow to annotate the experiments. At last, the study provide a way of implementing the system and provide sone possible technical choices. The client / server architecture is choosen with a rich Internet interface associated with a server side PHP application and a web service for querying ontologies.
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Master Thesis
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Submitted on : Friday, October 8, 2010 - 10:50:09 AM
Last modification on : Monday, February 21, 2022 - 3:38:12 PM
Long-term archiving on: : Thursday, October 25, 2012 - 4:40:56 PM


  • HAL Id : dumas-00524561, version 1



Alexandre Granier. Gestion de données et de connaissances appliquée aux bioprocédés. Base de données [cs.DB]. 2010. ⟨dumas-00524561⟩



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