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Data Integration with the DaltOn Framework - A Case Study

机译:与道尔顿框架的数据集成 - 以案例研究

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Data integration has gained a great attention in current scientific applications due to the increasingly high volume of heterogeneous data and proliferation of diverse data generating devices such as sensors. Recently evolved workflow systems contributed a lot towards scientific data integration by exploiting ontologies. Even though they offer good means for modeling computational workflows, they were proved not to be sufficiently strong in addressing data related issues in a transparent and structured manner. The DaltOn system improves the productivity of scientists by providing a framework which copes with these issues in a transparent and well structured manner. In this paper we will elaborate its application in a real world scenario taken from meteorological research where data are retrieved from a sensor network and are integrated into a central scientific database.
机译:由于多种数据生成装置(例如传感器)的异构数据量越来越大,数据集成在当前的科学应用中获得了很大的关注。最近演化的工作流系统通过利用本体贡献了很多贡献科学数据集成。尽管它们提供了适用于建模计算工作流程的良好手段,但在以透明和结构化的方式解决数据相关问题而不是充分强大。道尔顿系统通过提供一种以透明且结构良好的方式应对这些问题的框架来提高科学家的生产力。在本文中,我们将详细阐述其在从传感器网络中检索数据并集成到中央科学数据库中的数据的现实世界场景中的应用。

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