Collaborative data sharing via update exchange and provenance

Abstract

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 01, 2013
Source ID
10.1145/2500127

Entities

People

  • Grigoris Karvounarakis
  • Todd J. Green
  • Val Tannen
  • Zachary G. Ives

Organizations

  • Defense Advanced Research Projects Agency
  • Division of Information and Intelligent Systems
  • University of Pennsylvania

Tags

Fields of Study

  • Computer science

Readers

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