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Semantic Provenance for eScience: Managing the Deluge of Scientific Data

Title Semantic Provenance for eScience: Managing the Deluge of Scientific Data
Author , ,
Publisher IEEE
Year 2008
Resource Type Journal Article
Keyword(s) Semantic Provenance
Pages pp. 46-54
Full Citation Satya S. Sahoo,Amit Sheth, and Cory Henson, 'Semantic Provenance for eScience: Managing the Deluge of Scientific Data', IEEE Internet Computing, vol. 12, no. 4, July/August 2008, pp. 46-54.
Abstract Provenance information in eScience is metadata that's critical to effectively manage the exponentially increasing volumes of scientific data from industrial-scale experiment protocols. Semantic provenance, based on domain-specific provenance ontologies, lets software applications unambiguously interpret data in the correct context. The semantic provenance framework for eScience data comprises expressive provenance information and domain-specific provenance ontologies and applies this information to data management. The authors' 'two degrees of separation' approach advocates the creation of high-quality provenance information using specialized services. In contrast to workflow engines generating provenance information as a core functionality, the specialized provenance services are integrated into a scientific workflow on demand. This article describes an implementation of the semantic provenance framework for glycoproteomics.
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