Collaborative data sharing via update exchange and provenance
Collaborative data sharing via update exchange and provenance
复制标题
通过更新交换和来源进行协作数据共享
DOI：
10.1145/2500127
复制
发表时间：
2013
期刊：
影响因子：
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通讯作者：
V. Tannen
中科院分区：
文献类型：
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作者：
Gregory Karvounarakis;Todd J. Green;Z. Ives;V. Tannen
最近的工作[艾夫斯等人。 2005]提出了一类新的系统，用于支持科学和其他协作之间的数据共享：这种新的协作数据共享系统使用模式映射网络连接异构逻辑对等体。每个对等点都有一个本地控制和编辑的数据库实例，但也希望合并来自其他对等点的相关数据。为了实现这一点，每个对等点的数据和更新都会沿着映射传播到其他对等点。然而，这种称为更新交换的操作是通过信任条件（表示对等点判断哪些数据和来源是权威的）进行过滤的，这可能会导致对等点拒绝另一个更新。为了支持这种过滤，更新携带来源信息。
本文开发了实现此类系统的方法：我们基于数据集成、数据交换、增量视图维护和视图更新等技术，沿着映射传播更新，既可以传播到派生实例，也可以选择性地传播到源实例。我们采用了一种用于跟踪数据来源的新颖模型，以便管理者可以根据该来源的信任条件过滤更新。我们在现成的 RDBMS 之上的一层中实施我们的技术，并通过实验证明了这些技术在 Orchestra 原型系统中的可行性。
Recent work [Ives et al. 2005] proposed a new class of systems for supporting data sharing among scientific and other collaborations: this new collaborative data sharing system connects heterogeneous logical peers using a network of schema mappings. Each peer has a locally controlled and edited database instance, but wants to incorporate related data from other peers as well. To achieve this, every peer's data and updates propagate along the mappings to the other peers. However, this operation, termed update exchange, is filtered by trust conditions—expressing what data and sources a peer judges to be authoritative—which may cause a peer to reject another's updates. In order to support such filtering, updates carry provenance information.
This article develops methods for realizing such systems: we build upon techniques from data integration, data exchange, incremental view maintenance, and view update to propagate updates along mappings, both to derived and optionally to source instances. We incorporate a novel model for tracking data provenance, such that curators may filter updates based on trust conditions over this provenance. We implement our techniques in a layer above an off-the-shelf RDBMS, and we experimentally demonstrate the viability of these techniques in the Orchestra prototype system.
DOI：
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发表时间：
2002
期刊：
Proceedings. AMIA Symposium
影响因子：
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作者：
P. Mork;Ron Shaker;A. Halevy;P. Tarczy-Hornoch
通讯作者：
P. Mork;Ron Shaker;A. Halevy;P. Tarczy-Hornoch