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arXiv 1701.01775astro-ph.IM
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从天空到地球:数据科学方法论转移

From Sky to Earth: Data Science Methodology Transfer

Ashish A. Mahabal, Daniel Crichton, S. G. Djorgovski, Emily Law, John S. Hughes

摘要:

我们在这里描述了天文学和地球科学数据集的相似之处,它们的分析,以及从天文信息学到地理信息学的方法转移的机会。以水文学为例,我们强调如何元数据和本体是至关重要的,在这样的事业。使用正在设计的基础设施EarthCube -地球科学的虚拟天文台-我们讨论了必要的步骤,更好地转让工具和技术,在未来,如域适应。最后,我们指出,它从来不是一个单向的过程,有足够的天体信息学学习地理信息学以及。

英文摘要:

We describe here the parallels in astronomy and earth science datasets, their analyses, and the opportunities for methodology transfer from astroinformatics to geoinformatics. Using example of hydrology, we emphasize how meta-data and ontologies are crucial in such an undertaking. Using the infrastructure being designed for EarthCube - the Virtual Observatory for the earth sciences - we discuss essential steps for better transfer of tools and techniques in the future e.g. domain adaptation. Finally we point out that it is never a one-way process and there is enough for astroinformatics to learn from geoinformatics as well.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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