QueryMarket Demonstration: Pricing for Online Data Markets

QueryMarket Demonstration: Pricing for Online Data Markets
复制标题

DOI:
10.14778/2367502.2367548
复制
发表时间:
2012-08
期刊:
Proc. VLDB Endow.
影响因子:
--
通讯作者:
Paraschos Koutris;P. Upadhyaya;M. Balazinska;Bill Howe;Dan Suciu
Paraschos Koutris;P. Upadhyaya;M. Balazinska;Bill Howe;Dan Suciu
中科院分区:
其他
文献类型:
--
作者:
Paraschos Koutris;P. Upadhyaya;M. Balazinska;Bill Howe;Dan Suciu

文献摘要

被引文献

相似文献

越来越多的数据在网上进行买卖。为了促进这种交易,出现了在线数据市场,为卖家提供对其数据的观点定价的服务,买家则购买这种观点。这些市场既不支持销售即席查询(不是指定的视图之一),也不支持连接数据集的查询。我们介绍了QueryMarket,这是一个原型数据市场,它可以从手动定价的视图中自动推断即席查询的价格,包括那些带有连接的查询。我们将这种功能称为“基于查询的定价”,并描述了它如何优于现有的定价方法,以及它如何为卖家提供更灵活的定价。然后,我们将展示QueryMarket如何实现基于查询的定价,以及如何为其计算的价格生成解释。
Increasingly data is being bought and sold online. To facilitate such transactions, online data market-places have emerged to provide a service for sellers to price views on their data, and buyers to buy such views. These marketplaces neither support the sale of ad-hoc queries (that are not one of the specified views), nor do they support queries that join datasets. We present QueryMarket, a prototype data marketplace that automatically extrapolates prices to ad-hoc queries, including those with joins, from the manually priced views. We call this capability "query-based pricing" and describe how it is superior to existing pricing methods, and how it provides more flexible pricing for the sellers. We then show how QueryMarket implements query-based pricing and how it generates explanations for the prices it computes.