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Semantic Provenance for eScience: Managing the Deluge of Scientific Data

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3 Author(s)
Sahoo, S.S. ; Kno.e.sis Center, Wright State Univ., Dayton, OH ; Sheth, A. ; Henson, C.

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.

Published in:

Internet Computing, IEEE  (Volume:12 ,  Issue: 4 )