
Provenance and Annotation of Data and Process
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The 7 revised full papers, 11 revised medium-length papers, 6 revised short, and 7 demo papers presented together with 10 poster/abstract papers describing late-breaking work were carefully reviewed and selected from numerous submissions. Provenance has been recognized to be important in a wide range of areas including databases, workflows, knowledge representation and reasoning, and digital libraries. Thus, many disciplines have proposed a wide range of provenance models, techniques, and infrastructure for encoding and using provenance. The papers investigate many facets of data provenance, process documentation, data derivation, and data annotation.
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Content
- Intro
- Title Page
- Preface
- Organization
- Table of Contents
- Keynotes
- On Provenance and Privacy
- Papers
- The Provenance of Workflow Upgrades
- Introduction
- Workflow Upgrades
- Background
- Detecting the Need for Upgrades
- Processing Upgrades
- Provenance Concerns
- Implementation
- Discussion
- Related Work
- Conclusion and Future Work
- Approaches for Exploring and Querying Scientific Workflow Provenance Graphs
- Introduction
- Model of Provenance and Query Language
- The Provenance Browser
- Related Work
- Conclusion
- Automatic Provenance Collection and Publishing in a Science Data Production Environment-Early Results
- Introduction
- A Non-intrusive Science Data System
- Identity Management
- Provenance Management
- Issues Raised
- Leveraging the Open Provenance Model as a Multi-tier Model for Global Climate Research
- Introduction
- Relevant Research
- Multi-tier Provenance Model
- Discussion
- Conclusion
- References
- Understanding Collaborative Studies through Interoperable Workflow Provenance
- Introduction
- Building Collaborative Views
- Expressing Collaborative Queries
- Filtering Dependency Views Using QLP
- Relation between the Collaborative Model and OPM
- Conceptual Interoperability Scenario
- Related Work
- Conclusion
- Provenance of Software Development Processes
- Introduction
- Software Development Processes
- Questions
- A Provenance-Aware Software Development Process
- Evaluation and Conclusions
- Provenance-Awareness in R
- Introduction
- CXXR
- History
- How R Works
- Making CXXR Provenance-Aware
- What Provenance?
- Implementation
- Storing
- Recording
- Retrieval
- Issues
- Conclusion
- Further Work
- SAF: A Provenance-Tracking Framework for Interoperable Semantic Applications
- Introduction
- Related Work
- Demonstration
- Implementation
- Architecture and Security Model
- Client-Side Implementation
- Summary
- Future Work
- References
- Publishing and Consuming Provenance Metadata on the Web of Linked Data
- Introduction
- The Web of Data
- The Need for Provenance Metadata in the Web of Data
- Contributions and Structure
- Describing Provenance of Linked Data
- Overview of the Provenance Vocabulary
- Design Principles of the Provenance Vocabulary
- Publishing Provenance Descriptions about Linked Data
- Adding Provenance to Linked Data Objects
- Adding Provenance to RDF Dumps
- Providing Provenance Information at SPARQL Endpoints
- Metadata Extensions that Simplify the Publication
- Consuming Provenance from the Web of Data
- Querying for Provenance Metadata
- The Example Scenario
- Comparing the Timeliness
- Related Work
- Conclusion
- POMELo: A PML Online Editor
- Introduction
- Proof Markup Language (PML)
- PML-P: Provenance
- PML-J: Justification
- PML-T: Trust
- Related Work
- Features of POMELo
- Examples of Use
- Example 1: Visualizing PML
- Example 2: Editing and Validating PML
- Future Work
- Conclusions
- Capturing Provenance in the Wild
- The Challenge of "Open World" Provenance Capture
- Provenance Capture at Distributed System Coordination Points
- Evaluation
- Conclusions
- References
- Automatically Adapting Source Code to Document Provenance
- Introduction
- Overview and Case Study
- Process Documentation
- Identifiers and Querying
- Granularity and Procedure Calls
- Adaptation
- Explicate and Identify Stages
- Augment Stage
- Conclusions
- Using Data Provenance to Measure Information Assurance Attributes
- Introduction
- Previous Work
- Subjective Logic
- Implementation Details
- Analyzing the Records
- Integrity
- Authenticity
- Confidentiality
- Non-repudiation
- Availability
- Summarizing Information with an Icon
- Sample Visualization
- Conclusion
- References
- Explorations into the Provenance of High Throughput Biomedical Experiments
- Introduction
- The Translational Research Provenance Vision
- High Throughput Experiments and Provenance
- Related Work
- MAGE
- Round Trip Analysis
- General Purpose Provenance Models
- Methods
- Evaluation
- Results
- Discussion
- Future Work
- Conclusion
- $Janus$: From Workflows to Semantic Provenance and Linked Open Data
- Introduction
- Paper Scope and Contributions
- Related Work
- A Concrete Example
- The $Janus$ Semantic Provenance Infrastructure
- Modeling Domain-Agnostic Provenance in $Janus$
- Modeling Semantic Provenance in $Janus$
- Provenance Query Infrastructure for $Janus$
- Taverna Provenance and Linked Data
- Publishing Taverna Provenance as Linked Data
- Consuming Taverna Provenance as Linked Data
- Conclusions and Further Work
- Provenance-Aware Faceted Search in Drupal
- Introduction
- Related Work
- Capturing and Publishing Provenance in Drupal
- Provenance-Aware Faceted Search in Drupal
- Conclusion and Future Work
- References
- Securing Provenance-Based Audits
- Introduction
- Provenance Model Overview
- Securing the Recording and Storage Stage
- Provenance-Based Auditing Architecture
- Data Request Protocol Formalisation
- Storage Stage
- Securing the Querying and Analysis Stage
- Secured Provenance Graph
- Secured Provenance Graph Integrity Checking
- Securing Provenance Based-Audits
- Related Work
- Conclusions
- System Transparency, or How I Learned to Worry about Meaning and Love Provenance!
- Introduction
- Use Cases
- System Requirements
- Knowledge Provenance
- Provenance Visualization
- Demonstration
- Discussion and Conclusions
- Pedigree Management and Assessment Framework (PMAF)
- Introduction to PMAF
- PMAF Background
- Provenance Model
- Resource
- Provenance Metadata
- Pedigree Fragment
- Root Pedigree
- Provenance Subgraph
- Provenance Represented in RDF
- PMAF Architecture
- Pedigree Assembler
- Assessment Query
- Subgraph Query
- Pedigree Publisher
- Publish API
- PMAF Interfaces
- PMAF Assessments
- PMAF Vocabularies
- PMAF Applications
- PMAF Demonstration
- References
- Provenance-Based Strategies to Develop Trust in Semantic Web Applications
- Introduction
- Related Work
- Supreme Court: Justices and Decision Making
- Application Domain
- Tools and Techniques: Advantages and Challenges
- Developing Trust through Provenance
- Provenance of Subject-Centric Queries
- Use Cases Addressed by Provenance of User Interface Invocation
- Use Case Addressed by Provenance of Subject Scope
- Conclusions
- Reflections on Provenance Ontology Encodings
- Introduction
- Semantic Web Provenance Ontologies
- Concept Coverage Analyses
- Concept Modeling Analyses
- Conclusion
- References
- Abstract Provenance Graphs: Anticipating and Exploiting Schema-Level Data Provenance
- Introduction
- Motivation
- Abstract Provenance Graphs
- Abstract Provenance Flowgraphs
- Variations of Abstract Provenance Graphs
- Related Work
- Conclusion
- On the Use of Semantic Abstract Workflows Rooted on Provenance Concepts
- Introduction
- Background
- Semantic Abstract Workflows
- Proof Markup Language
- Integrating Process and Provenance Concepts
- Discussion
- Conclusion
- Provenance of Decisions in Emergency Response Environments
- Introduction
- Provenance of Decisions: Tracing Decisions Made by Emergency Responders
- Decisions in RoboCup Rescue Simulation
- Provenance-Aware RoboCup Rescue Simulation
- OPM-Based RCRS Provenance Information
- Related Work
- Conclusion and Future Work
- An Approach to Enhancing Workflows Provenance by Leveraging Web 2.0 to Increase Information Sharing, Collaboration and Reuse
- Introduction
- Web 2.0 and Scientific Workflow Provenance
- Using the Open Provenance Model with ATOM
- Use Case Scenario
- Summary
- References
- StarFlow: A Script-Centric Data Analysis Environment
- Introduction
- Features of a Workflow Engine for Data Analysis
- Tracking Dependencies
- Using the Dependency Network
- Workflow Abstraction
- Integration with the Programming Environment
- StarFlow
- Design Principles
- Tracking Dependencies
- Exploring, Updating and Sharing
- Basic Use Case
- Workflow Abstraction
- Future Directions
- Conclusion
- GExpLine: A Tool for Supporting Experiment Composition
- Introduction
- GExpLine
- GExpLine Prospective Provenance Model
- Modeling a Deep Water Oil Exploitation Experiment
- Related Work
- Conclusion
- References
- Data Provenance in Distributed Propagator Networks
- Introduction
- Propagator Networks
- Propagators in a Distributed System
- Adding Provenance to Propagator Networks
- Related Work
- Contributions and Future Work
- Towards Provenance Aware Comment Tracking for Web Applications
- Introduction
- Deliverables
- Related Work
- The Provenance Aware Comment Tracker (PACT) Model
- Exemplar Application: US Global Aid
- Use Case 1: Problem in Mashup
- Use Case 2: Problem with Data
- Discussion and Conclusion
- Browsing Proof Markup Language Provenance: Enhancing the Experience
- Introduction
- Usability
- Performance: Preprocessed Views
- Towards a Threat Model for Provenance in e-Science
- Introduction
- Security Requirements for Provenance Systems
- Concluding Remarks
- Provenance Support for Content Management Systems: A Drupal Example
- Introduction
- Provenance Support for Drupal
- ProvenanceJS: Revealing the Provenance of Web Pages
- Provenance Metadata and Implementation
- Related Work and Conclusion
- Integrating Provenance Data from Distributed Workflow Systems with ProvManager
- Introduction
- ProvManager
- References
- Using Data Lineage for Sub-image Processing
- Introduction
- Sub-image Processing
- Use Case: Analyzing Transitioning Galaxies
- I Think Therefore I Am Someone Else: Understanding the Confusion of Granularity with Continuant/Occurrent and Related Perspective Shifts
- Introduction
- References
- A Multi-faceted Provenance Solution for Science on the Web
- Introduction
- ourSpaces - Supporting Provenance on the Web
- References
- Social Web-Scale Provenance in the Cloud
- Introduction
- Engineering and Scalability Challenges
- Privacy and Monetization
- Related Work
- Conclusion
- References
- Using Domain Requirements to Achieve Science-Oriented Provenance
- Introduction
- Issues with Scientific Outreach
- Developing Domain-Oriented Provenance Requirements
- Author Index
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