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