Provenance and Annotation of Data and Processes

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

Khalid Belhajjame Ashish Gehani Pinar Alper(Herausgeber*in)

Springer (Verlag)

Erschienen am 5. September 2018

X, 272 Seiten

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Inhalt

Intro
Preface
Organization
Contents
Reproducibility
Provenance Annotation and Analysis to Support Process Re-computation
1 Introduction
1.1 Version Changes and Their Scope
1.2 Problem Formulation and Contributions
1.3 Example: Versioning in Genomics
2 Recomputation Fronts and Restart Trees
2.1 Recomputation Fronts
2.2 Building a Restart Tree
3 Computing the Re-computation Front
4 Related Work
5 Discussion and Conclusions
References
Provenance of Dynamic Adaptations in User-Steered Dataflows
Abstract
1 Introduction
2 Related Work
3 Workflows, Computational Steering and Data Provenance
3.1 Dataflow-Oriented Approach and Runtime Provenance
3.2 A Diagram for Runtime Provenance in HPC Workflows
4 Provenance of Dynamic Adaptation in User-Steered Dataflows
5 Specializing PROV-DfA Concepts
5.1 Simulation Parameter Tuning
5.2 Online Adaptation of Iterative Simulations
5.3 Data Reduction
6 Case Study
7 Conclusion
Acknowledgement
References
Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project
Abstract
1 Introduction
2 Method
2.1 ProvCaRe S3 Model and Ontology
2.2 Training of Deep Learning Models
2.3 Deep Learning Model Architectures
3 Result and Discussion
3.1 Classification Results
3.2 Comparative Evaluation Results
4 Conclusion
Acknowledgement
References
Modeling, Simulating and Capturing Provenance
A Provenance Model for the European Union General Data Protection Regulation
1 Introduction
2 Background and Related Work
2.1 GDPR Background
2.2 Related Work
3 GDPR Data Provenance Model
4 Using the GDPR Data Provenance Model
4.1 Design Patterns
4.2 Verifying Compliance
5 Discussion
6 Conclusion
References
Automating Provenance Capture in Software Engineering with UML2PROV
1 Introduction
2 Overview: The UML2PROV Approach
3 From Class Diagrams to Templates
3.1 A Taxonomy of Operations Stereotypes
3.2 Class Diagrams to Templates Transformation Patterns
4 Implementation
4.1 Implementation of the Mapping Patterns
4.2 Generation of Artefacts
5 Analysis and Discussion
6 Related Work
7 Conclusions and Future Work
References
Simulated Domain-Specific Provenance
1 Motivations and Approach
2 Provenance Templates
2.1 Variable Domains
3 Domain-Specific Constraints for Templates
3.1 Constraint Types
3.2 Solving Constraints
4 Processes and Simulation
4.1 Processes
4.2 Simulation
5 Implementation and Architecture
6 Evaluation
7 Related Work
8 Conclusions and Future Work
References
PROV Extensions
Versioned-PROV: A PROV Extension to Support Mutable Data Entities
1 Introduction
2 Running Example
3 Versioned-PROV
3.1 Concepts
3.2 Mapping Example
4 Evaluation
5 Related Work
6 Final Remarks
References
Using the Provenance from Astronomical Workflows to Increase Processing Efficiency
1 Introduction
2 Astronomy Application
2.1 The Image Processing Pipeline
2.2 Use Cases
3 Provenance in Astronomy Simulations
4 Evaluation
4.1 Use Case 1
4.2 Use Case 2
5 Related Work
5.1 Provenance in Astronomy and e-Science
5.2 PROV-TEMPLATES
6 Conclusions
References
Scientific Workflows
Discovering Similar Workflows via Provenance Clustering: A Case Study
1 Introduction
2 Background
2.1 Next Generation Gene Sequencing (NGS)
2.2 Related Work
3 Clustering Workflow Provenance
3.1 Provenance Clustering Framework
3.2 Data Model: Abstract Provenance Graphs
3.3 Feature Extraction
3.4 Measuring Graph Similarity
3.5 Clustering Algorithm
4 Preliminary Experiments
4.1 Provenance Datasets
4.2 Analysis over Real Datasets
4.3 Analysis over Synthetic Datasets
4.4 Running Time Analysis
5 Conclusion
References
Validation and Inference of Schema-Level Workflow Data-Dependency Annotations
1 Introduction
2 Workflow Dependency Annotations
3 Reasoning over Dependency Types
3.1 Dependency Types
3.2 Composing Dependency Annotations
3.3 Additional Annotation Constraints
4 Prototype Implementation
5 Related Work
6 Conclusion and Future Work
References
Applications
Belief Propagation Through Provenance Graphs
1 Introduction
2 Background
2.1 Provenance
2.2 Belief Propagation
3 Food Supply Chain as a Use Case
3.1 Food Provenance and Food Regulations
3.2 Modular Process Risk Model (MPRM)
4 The prFrame Framework
4.1 Food Risk Model with Monte-Carlo Simulation
4.2 Belief Propagation in the Provenance Network
4.3 Methodology to Infer Risk of Contamination
5 Evaluation of the Methodology
5.1 The Effect of the Distance and Position Between Nodes
5.2 Analysis of the Result
6 Conclusion and Future Work
References
Using Provenance to Efficiently Propagate SPARQL Updates on RDF Source Graphs
1 Introduction
2 Related Work
3 Running Example
4 The RGPROV Vocabulary
5 The Model and Algorithms
5.1 System Architecture
5.2 Update Propagation per Set Theoretic Operations
5.3 Partial Re-derivation Algorithms
6 Results
7 Conclusion and Future Work
References
System Demonstrations
Implementing Data Provenance in Health Data Analytics Software
Abstract
1 Introduction
2 Use Case
3 Summary
References
Quine: A Temporal Graph System for Provenance Storage and Analysis
Abstract
1 Introduction
1.1 Highly Connected Temporal Data
1.2 Queries on Complex Structures over Time
1.3 Evolving Schema
1.4 Scalability for Large Datasets
2 Demonstration Topics
3 Conclusion
Acknowledgments
References
Joint IPAW/TaPP Poster Session
Capturing Provenance for Runtime Data Analysis in Computational Science and Engineering Applications
Abstract
1 Introduction
2 DfA-prov Making CSE Applications Provenance-Aware
3 Conclusions
Acknowledgments
References
UniProv - Provenance Management for UNICORE Workflows in HPC Environments
Abstract
1 Introduction
2 Interoperable Provenance Framework for UNICORE
3 Capturing and Storing Provenance Data
Acknowledgements
References
Towards a PROV Ontology for Simulation Models
1 Introduction
2 Exploiting PROV-DM for Simulation Model Development
3 Towards an PROV Ontology for Simulation Model Development
References
Capturing the Provenance of Internet of Things Deployments
1 Introduction
2 Describing IoT System Deployments
3 Future Work
References
Towards Transparency of IoT Message Brokers
1 Introduction
2 The MQTT-PLAN Ontology
3 Discussion and Future Work
References
Provenance-Based Root Cause Analysis for Revenue Leakage Detection: A Telecommunication Case Study
1 Introduction
2 The Proposed Approach
3 Running Examples
4 Results
References
Case Base Reasoning Decision Support Using the DecPROV Ontology for Decision Modelling
1 Decision Modelling Need and a Domain
2 Standardised PROV Decision Modelling
3 Case-Based Reasoning with Decisions
4 Current Work
5 Future Work
References
Bottleneck Patterns in Provenance
1 Introduction
2 Classification of Bottlenecks
3 Bottlenecks Patterns
References
Architecture for Template-Driven Provenance Recording
1 Introduction
2 Methodology
3 Architecture
4 Conclusions and Future Work
References
Combining Provenance Management and Schema Evolution
1 Introduction
2 Problem and Poster Description
2.1 Calculation of a Minimal Sub-database
2.2 Unification of Provenance and Evolution
2.3 Query Q
2.4 Evolution E
2.5 Data Provenance Qprov
References
Provenance for Entity Resolution
1 Motivation
2 Provenance Model for Abstract ER Pipelines
3 Implementing Provenance Capture for HIL ER Rules
4 Conclusion and Outlook
References
Where Provenance in Database Storage
1 Introduction
2 Background and Related Work
3 Motivating Where Provenance in DBMSes
4 Forensic Evidence in Where Provenance
5 Conclusion
References
Streaming Provenance Compression
1 Introduction
2 Contributions
References
Structural Analysis of Whole-System Provenance Graphs
1 Introduction
2 Graph Types in WSP
3 Setup
4 Results
5 Conclusions
References
A Graph Testing Framework for Provenance Network Analytics
Abstract
1 Introduction
2 A Multi-model Graph Analysis Framework
3 Future Work
References
Provenance for Astrophysical Data
1 Introduction
2 Use Cases for Provenace in Astronomy
2.1 Cherenkov Telescope Array
2.2 Spectroscopic Surveys
2.3 APPLAUSE Database - Scanning Historical Photoplates
2.4 MUSE Data Reduction Pipeline
2.5 RAVE Survey
3 Special Requirements in Modelling Provenance in Astronomy
4 Integration into the IVOA Ecosystem
5 Summary
References
Data Provenance in Agriculture
Abstract
1 Introduction
2 Experiments in Soils Science
3 Open Soils
4 Concluding Remarks
Acknowledgments
References
Extracting Provenance Metadata from Privacy Policies
1 Motivation
2 Provenance Metadata
3 Potential Applications
4 Conclusion
References
Provenance-Enabled Stewardship of Human Data in the GDPR Era
1 Background
1.1 EU General Data Protection Regulation
1.2 Stewardship of Human Data
2 ELIXIR-LU Data Information System
3 Future Directions
References
Author Index

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