Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
A Conceptual Framework for Composing and Managing Scientific Data Lineage
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Re-Integrating the Research Record
Computing in Science and Engineering
Earth System Science Workbench: A Data Management Infrastructure for Earth Science Products
SSDBM '01 Proceedings of the 13th International Conference on Scientific and Statistical Database Management
Tools and Support for Deploying Applications on the Grid
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Empowering Resource Providers to Build the Semantic Grid
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
Hi-index | 0.00 |
There has seen a strong demand for provenance in grid applications, which enables users to trace how a particular result has been arrived at by identifying the resources, configurations and execution settings. In this paper we analyses the requirements of provenance support and discusses the nature and characteristics of provenance data on the Grid. We define a new conception called augmented provenance that enhances conventional provenance data with extensive metadata and semantics. A hybrid approach is proposed for the creation and management of augmented provenance in which semantic annotation is used to generate semantic provenance data and the database management system is used for execution data management. The approach has been applied to a real world application, and tools and GUIs are developed to facilitate provenance management and exploitation.