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首页> 外文期刊>Journal of Hydroinformatics >Modelling provenance in hydro logic science: a case study on streamflow forecasting
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Modelling provenance in hydro logic science: a case study on streamflow forecasting

机译：水逻辑科学中的物源建模：以流量预测为例

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摘要

The web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to bring recent developments in the management of provenance developed for e-science and the Semantic Web to the problems of hydrology. Our main result is a formal ontological model for the representation of provenance information driven by a hydrologic case study. Along the way, we support usability, extensibility and reusability for provenance representation, relying on the concept of modelling both domain-independent and domain-specific aspects of provenance. We evaluate our model with respect to its ability to satisfy identified requirements arising from the case study on streamflow forecasting for the South Esk River catchment in Tasmania, Australia.
机译：Web，以及最近的语义Web的概念和技术，已经为开放框架中的大规模数据管理，集成和计算创建了许多新的思想和创新工具。水文科学特别感兴趣的一个领域是物源信息的捕获，表示，推断和表示：这些信息有助于解释如何计算数据以及如何解释数据。本文是第一批将针对电子科学和语义网开发的物源管理的最新进展引入水文学问题的人之一。我们的主要结果是一个正式的本体模型，用于表示由水文案例研究驱动的来源信息。在此过程中，我们依赖于对来源的领域无关和领域特定方面进行建模的概念来支持来源表示的可用性，可扩展性和可重用性。我们评估模型满足澳大利亚塔斯马尼亚州南埃斯克河流域的流量预报案例研究提出的确定要求的能力。

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