Provenance and Annotation of Data and Processes

1. Front Matter

   Pages I-X

   PDF

2. Standardization of Provenance Models, Services, Representations

   1. Front Matter

      Pages 1-1

      PDF

   2. ProvAbs: Model, Policy, and Tooling for Abstracting PROV Graphs

      • Paolo Missier, Jeremy Bryans, Carl Gamble, Vasa Curcin, Roxana Danger

      Pages 3-15

   3. ProvGen: Generating Synthetic PROV Graphs with Predictable Structure

      • Hugo Firth, Paolo Missier

      Pages 16-27

3. Applications of Provenance

   1. Front Matter

      Pages 29-29

      PDF

   2. Walking into the Future with PROV Pingback: An Application to OPeNDAP Using Prizms

      • Timothy Lebo, Patrick West, Deborah L. McGuinness

      Pages 31-43

   3. Provenance for Online Decision Making

      • Amir Sezavar Keshavarz, Trung Dong Huynh, Luc Moreau

      Pages 44-55

   4. Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic Provenance

      • Devarshi Ghoshal, Arun Chauhan, Beth Plale

      Pages 56-67

4. Provenance Management Architectures and Techniques

   1. Front Matter

      Pages 69-69

      PDF

   2. noWorkflow: Capturing and Analyzing Provenance of Scripts

      • Leonardo Murta, Vanessa Braganholo, Fernando Chirigati, David Koop, Juliana Freire

      Pages 71-83

   3. LabelFlow: Exploiting Workflow Provenance to Surface Scientific Data Provenance

      • Pinar Alper, Khalid Belhajjame, Carole A. Goble, Pinar Karagoz

      Pages 84-96

   4. Auditing and Maintaining Provenance in Software Packages

      • Quan Pham, Tanu Malik, Ian Foster

      Pages 97-109

5. Security and Privacy Implications of Provenance

   1. Front Matter

      Pages 111-111

      PDF

   2. An Analytical Survey of Provenance Sanitization

      • James Cheney, Roly Perera

      Pages 113-126

   3. A Provenance-Based Policy Control Framework for Cloud Services

      • Mufajjul Ali, Luc Moreau

      Pages 127-138

   4. Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments

      • Luiz M. R. Gadelha Jr., Marta Mattoso

      Pages 139-151

6. Provenance Discovery and Data Reproducibility

   1. Front Matter

      Pages 153-153

      PDF

   2. Looking Inside the Black-Box: Capturing Data Provenance Using Dynamic Instrumentation

      • Manolis Stamatogiannakis, Paul Groth, Herbert Bos

      Pages 155-167

   3. Generating Scientific Documentation for Computational Experiments Using Provenance

      • Adianto Wibisono, Peter Bloem, Gerben K. D. de Vries, Paul Groth, Adam Belloum, Marian Bubak

      Pages 168-179

   4. Computing Location-Based Lineage from Workflow Specifications to Optimize Provenance Queries

      • Saumen Dey, Sven Köhler, Shawn Bowers, Bertram Ludäscher

      Pages 180-193

This book constitutes the revised selected papers of the 5th International Provenance and Annotation Workshop, IPAW 2014, held in Cologne, Germany in June 2014. The 14 long papers, 20 short papers and 4 extended abstracts presented were carefully reviewed and selected from 53 submissions. The papers include tools that enable provenance capture from software compilers, from web publications and from scripts, using existing audit logs and employing both static and dynamic instrumentation.

• Data Derivation
• Data Processing
• Data Provenance
• Data Semantics
• Database Management & Information Retrieval
• General Issues
• Grid
• Identity
• Information Documentation
• Metadata Management
• Neuroimaging
• Privacy
• Process Documentation
• Process Provenance
• Provenance Management
• Provenance Models
• Security
• Software Engineering
• Visualization
• Workflow Provenance

• University of Illinois, Urbana-Champaign, USA

  Bertram Ludäscher

• Indiana University, Bloomington, USA

  Beth Plale

Policies and ethics