Provenance and Annotation of Data and Processes: 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings

Description

This book constitutes the refereed proceedings of the 7th International Provenance and Annotation Workshop, IPAW 2018, held in London, UK, in July 2018. The 12 revised full papers, 19 poster papers, and 2 demonstration papers presented were carefully reviewed and selected from 50 submissions. The papers feature a variety of provenance-related topics ranging from the capture and inference of provenance to its use and application.They are organized in topical sections on reproducibility; modeling, simulating and capturing provenance; PROV extensions; scientific workflows; applications; and system demonstrations. Front Matter ....Pages I-X Front Matter ....Pages 1-1 Provenance Annotation and Analysis to Support Process Re-computation (Jacek Cała, Paolo Missier)....Pages 3-15 Provenance of Dynamic Adaptations in User-Steered Dataflows (Renan Souza, Marta Mattoso)....Pages 16-29 Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project (Joshua Valdez, Matthew Kim, Michael Rueschman, Susan Redline, Satya S. Sahoo)....Pages 30-41 Front Matter ....Pages 43-43 A Provenance Model for the European Union General Data Protection Regulation (Benjamin E. Ujcich, Adam Bates, William H. Sanders)....Pages 45-57 Automating Provenance Capture in Software Engineering with UML2PROV (Carlos Sáenz-Adán, Luc Moreau, Beatriz Pérez, Simon Miles, Francisco J. García-Izquierdo)....Pages 58-70 Simulated Domain-Specific Provenance (Pinar Alper, Elliot Fairweather, Vasa Curcin)....Pages 71-83 Front Matter ....Pages 85-85 Versioned-PROV: A PROV Extension to Support Mutable Data Entities (João Felipe N. Pimentel, Paolo Missier, Leonardo Murta, Vanessa Braganholo)....Pages 87-100 Using the Provenance from Astronomical Workflows to Increase Processing Efficiency (Michael A. C. Johnson, Luc Moreau, Adriane Chapman, Poshak Gandhi, Carlos Sáenz-Adán)....Pages 101-112 Front Matter ....Pages 113-113 Discovering Similar Workflows via Provenance Clustering: A Case Study (Abdussalam Alawini, Leshang Chen, Susan Davidson, Stephen Fisher, Junhyong Kim)....Pages 115-127 Validation and Inference of Schema-Level Workflow Data-Dependency Annotations (Shawn Bowers, Timothy McPhillips, Bertram Ludäscher)....Pages 128-141 Front Matter ....Pages 143-143 Belief Propagation Through Provenance Graphs (Belfrit Victor Batlajery, Mark Weal, Adriane Chapman, Luc Moreau)....Pages 145-157 Using Provenance to Efficiently Propagate SPARQL Updates on RDF Source Graphs (Iman Naja, Nicholas Gibbins)....Pages 158-170 Front Matter ....Pages 171-171 Implementing Data Provenance in Health Data Analytics Software (Shen Xu, Elliot Fairweather, Toby Rogers, Vasa Curcin)....Pages 173-176 Quine: A Temporal Graph System for Provenance Storage and Analysis (Ryan Wright)....Pages 177-180 Front Matter ....Pages 181-181 Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications (Vítor Silva, Renan Souza, Jose Camata, Daniel de Oliveira, Patrick Valduriez, Alvaro L. G. A. Coutinho et al.)....Pages 183-187 UniProv - Provenance Management for UNICORE Workflows in HPC Environments (André Giesler, Myriam Czekala, Björn Hagemeier)....Pages 188-191 Towards a PROV Ontology for Simulation Models (Andreas Ruscheinski, Dragana Gjorgevikj, Marcus Dombrowsky, Kai Budde, Adelinde M. Uhrmacher)....Pages 192-195 Capturing the Provenance of Internet of Things Deployments (David Corsar, Milan Markovic, Peter Edwards)....Pages 196-199 Towards Transparency of IoT Message Brokers (Milan Markovic, David Corsar, Waqar Asif, Peter Edwards, Muttukrishnan Rajarajan)....Pages 200-203 Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study (Wisam Abbasi, Adel Taweel)....Pages 204-207 Case Base Reasoning Decision Support Using the DecPROV Ontology for Decision Modelling (Nicholas J. Car)....Pages 208-211 Bottleneck Patterns in Provenance (Sara Boutamina, James D. A. Millington, Simon Miles)....Pages 212-216 Architecture for Template-Driven Provenance Recording (Elliot Fairweather, Pinar Alper, Talya Porat, Vasa Curcin)....Pages 217-221 Combining Provenance Management and Schema Evolution (Tanja Auge, Andreas Heuer)....Pages 222-225 Provenance for Entity Resolution (Sarah Oppold, Melanie Herschel)....Pages 226-230 Where Provenance in Database Storage (Alexander Rasin, Tanu Malik, James Wagner, Caleb Kim)....Pages 231-235 Streaming Provenance Compression (Raza Ahmad, Melanie Bru, Ashish Gehani)....Pages 236-240 Structural Analysis of Whole-System Provenance Graphs (Jyothish Soman, Thomas Bytheway, Lucian Carata, Nikilesh D. Balakrishnan, Ripduman Sohan, Robert N. M. Watson)....Pages 241-244 A Graph Testing Framework for Provenance Network Analytics (Bernard Roper, Adriane Chapman, David Martin, Jeremy Morley)....Pages 245-251 Provenance for Astrophysical Data (Anastasia Galkin, Kristin Riebe, Ole Streicher, Francois Bonnarel, Mireille Louys, Michèle Sanguillon et al.)....Pages 252-256 Data Provenance in Agriculture (Sérgio Manuel Serra da Cruz, Marcos Bacis Ceddia, Renan Carvalho Tàvora Miranda, Gabriel Rizzo, Filipe Klinger, Renato Cerceau et al.)....Pages 257-261 Extracting Provenance Metadata from Privacy Policies (Harshvardhan Jitendra Pandit, Declan O’Sullivan, Dave Lewis)....Pages 262-265 Provenance-Enabled Stewardship of Human Data in the GDPR Era (Pinar Alper, Regina Becker, Venkata Satagopam, Christophe Trefois, Valentin Grouès, Jacek Lebioda et al.)....Pages 266-269 Back Matter ....Pages 271-272