Sheng Jiang

Publications of Sheng Jiang

• The provenance of electronic data.

  Authors: Luc Moreau, Paul T. Groth, Simon Miles, Javier Vázquez-Salceda, John Ibbotson, Sheng Jiang, Steve Munroe, Omer F. Rana, Andreas Schreiber, Victor Tan, László Zsolt Varga

  Commun. ACM. 01/2008; 51:52-58.

• Extracting causal graphs from an open provenance data model.

  Authors: Simon Miles, Paul T. Groth, Steve Munroe, Sheng Jiang, Thibaut Assandri, Luc Moreau

  Concurrency and Computation: Practice and Experience. 01/2008; 20:577-586.

• Special Issue: The First Provenance Challenge.

  Authors: Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr, Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia [......] Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao

  Concurrency and Computation: Practice and Experience. 01/2008; 20:409-418.

• An Architecture for Provenance Systems Executive Summary

  Authors: Paul Groth, Sheng Jiang, Simon Miles, Steve Munroe, Victor Tan, Sofia Tsasakou, Luc Moreau

• The First Provenance Challenge

  Authors: Luc Moreau, Bertram Ludaescher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven Callahan, George Chin Jr, Ben Clifford, Shirley Cohen, Sarah Cohen-Boulakia [......] Margo Seltzer, Yogesh L. Simmhan, Claudio Silva, Peter Slaughter, Eric Stephan, Robert Stevens, Daniele Turi, Huy Vo, Mike Wilde, Jun Zhao

  The first Provenance Challenge was set up in order to provide a forum for the community to help understand the capabilities of different provenance systems and the expressiveness of their provenanceThe first Provenance Challenge was set up in order to provide a forum for the community to help understand the capabilities of different provenance systems and the expressiveness of their provenance representations. To this end, a Functional Magnetic Resonance Imaging workflow was defined, which participants had to either simulate or run in order to produce some provenance representation, from which a set of identified queries had to be implemented and executed. Sixteen teams responded to the challenge, and submitted their inputs. In this paper, we present the challenge workflow and queries, and summarise the participants contributions.

• An Architecture for Provenance Systems

  Authors: Paul Groth, Sheng Jiang, Simon Miles, Steve Munroe, Victor Tan, Sofia Tsasakou, Luc Moreau

  This document covers the logical and process architectures of provenance systems. The logical architecture identifies key roles and their interactions, whereas the process architecture discussesThis document covers the logical and process architectures of provenance systems. The logical architecture identifies key roles and their interactions, whereas the process architecture discusses distribution and security. A fundamental aspect of our presentation is its technology-independent nature, which makes it reusable: the principles that are exposed in this document may be applied to different technologies.

• The Provenance of Electronic Data

  Authors: Luc Moreau, Paul Groth, Simon Miles, Javier Vazquez, John Ibbotson, Sheng Jiang, Steve Munroe, Omer Rana, Andreas Schreiber, Victor Tan, Laszlo Varga

  In the study of fine art, provenance refers to the documented history of some art object. Given that documented history, the object attains an authority that allows scholars to appreciate itsIn the study of fine art, provenance refers to the documented history of some art object. Given that documented history, the object attains an authority that allows scholars to appreciate its importance with respect to other works, whereas, in the absence of such history, the object may be treated with some skepticism. Our IT landscape is evolving as illustrated by applications that are open, composed dynamically, and that discover results and services on the fly. Against this challenging background, it is crucial for users to be able to have confidence in the results produced by such applications. If the provenance of data produced by computer systems could be determined as it can for some works of art, then users, in their daily applications, would be able to interpret and judge the quality of data better. We introduce a provenance lifecycle and advocate an open approach based on two key principles to support a notion of provenance in computer systems: documentation of execution and user-tailored provenance queries.

• Security Issues in a SOA-based Provenance System

  Authors: Victor Tan, Paul Groth, Simon Miles, Sheng Jiang, Steve Munroe, Sofia Tsasakou, Luc Moreau

  Recent work has begun exploring the characterization and utilization of provenance in systems based on the Service Oriented Architecture (such as Web Services and Grid based environments). One of theRecent work has begun exploring the characterization and utilization of provenance in systems based on the Service Oriented Architecture (such as Web Services and Grid based environments). One of the salient issues related to provenance use within any given system is its security. Provenance presents some unique security requirements of its own, which are additionally dependent on the architectural and environmental context that a provenance system operates in. We discuss the security considerations pertaining to a Service Oriented Architecture based provenance system. Concurrently, we outline possible approaches to address them.