Ver: View Discovery in the Wild
Ver: View Discovery in the Wild
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DOI：
10.1109/icde55515.2023.00045
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Yue Gong;Zhiru Zhu;Sainyam Galhotra;R. Fernandez
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文献类型：
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作者：
Yue Gong;Zhiru Zhu;Sainyam Galhotra;R. Fernandez
我们提出了Ver1，这是一个数据发现系统，它可以识别不包含连接路径信息的大型表库上的项目连接视图，甚至在输入查询不准确的情况下也是如此。VER实现了一个参考体系结构来解决视图发现的技术问题(缩放和搜索)和人的问题(语义模糊，导航大量结果)。我们通过用户研究演示了用户在使用Ver时找到他们想要的视图，并通过在包含数千万条连接路径的真实数据集上的大规模端到端实验来演示其性能。
We present Ver1, a data discovery system that identifies project-join views over large repositories of tables that do not contain join path information, and even when input queries are inaccurate. Ver implements a reference architecture to solve both the technical (scale and search) and human (semantic ambiguity, navigating a large number of results) problems of view discovery. We demonstrate users find the view they want when using Ver with a user study and we demonstrate its performance with large-scale end-to-end experiments on real-world datasets containing tens of millions of join paths.