Provenance and Annotation of Data and Processes 4th International Workshop, IPAW 2012, Santa Barbara, CA, USA, June 19-21, 2012, Revised Selected Papers
This book constitutes the revised selected papers of the 4th International Provenance and Annotation Workshop, IPAW 2012, held in Santa Barbara, CA, USA, in June 2012. The 14 full papers, 4 demo papers and 12 poster papers presented were carefully reviewed and selected from 49 submissions. The paper...
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| Main Authors | , |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Netherlands
Springer Nature
2012
Springer Berlin / Heidelberg Springer |
| Edition | 1 |
| Series | Lecture Notes in Computer Science |
| Subjects | |
| Online Access | Get full text |
| ISBN | 3642342221 9783642342226 3642342213 9783642342219 |
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| Abstract | This book constitutes the revised selected papers of the 4th International Provenance and Annotation Workshop, IPAW 2012, held in Santa Barbara, CA, USA, in June 2012. The 14 full papers, 4 demo papers and 12 poster papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on documents databases; the Web; reconstruction; science applications; and demonstrations. |
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| AbstractList | This book constitutes the revised selected papers of the 4th International Provenance and Annotation Workshop, IPAW 2012, held in Santa Barbara, CA, USA, in June 2012. The 14 full papers, 4 demo papers and 12 poster papers presented were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on documents databases; the Web; reconstruction; science applications; and demonstrations. |
| Author | Frew, James Groth, Paul |
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| Editor | Frew, James Groth, Paul |
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| Snippet | This book constitutes the revised selected papers of the 4th International Provenance and Annotation Workshop, IPAW 2012, held in Santa Barbara, CA, USA, in... |
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| SubjectTerms | Congresses Database management Electronic data processing documentation Special computer methods |
| Subtitle | 4th International Workshop, IPAW 2012, Santa Barbara, CA, USA, June 19-21, 2012, Revised Selected Papers |
| TableOfContents | Intro -- Title -- Preface -- Organization -- Table of Contents -- Documents Databases -- SourceTrac: Tracing Data Sources within Spreadsheets -- Introduction -- Provenance Technique -- Tracking the Source as the User Obtains the Data -- Querying Data Sources at Multiple Levels of Granularity -- Calculating the Ancestors of the Data -- Visualizing Sources at Different Levels of Granularity -- SourceTrac Tool Support -- Tool Design and Implementation -- Use Cases -- Evaluation -- Provenance Queries -- User Feedback -- Scalability of Tool -- Related Work -- Conclusion -- References -- Towards Integrating Workflow and Database Provenance -- Introduction -- A Model for Integrating Workflow and Database Provenance -- Background -- Integrating Workflow and Database Provenance -- Enabling Reproducibility -- Querying Provenance -- Implementation -- Conclusion and Future Work -- References -- DEEP: A Provenance-Aware Executable Document System -- Introduction -- Related Work -- Deep Requirements and Design -- Deep System Design and Overview -- Deep Document Structure and Reading -- Provenance Data Model for an Executable Document System -- Presenting and Navigating Provenance Information - Exposing Provenance to Support Users -- Provenance-Aware Interactive Reading - Using Provenance to Drive System Functionality -- Deep Document Execution Status Checking -- Deep Document Rollback -- Conclusion and Future Work -- References -- The Web -- Towards Unified Provenance Granularities -- Introduction -- Related Work -- csv2rdf4lod's Assertions of Granular Provenance -- SemantAqua's Need for Abstracted Provenance -- Deriving Abstractive Provenance -- Discussion -- Conclusion -- References -- Functional Requirements for Information Resource Provenance on the Web -- Introduction -- A Weather Example -- Background: Existing W3C Recommendations Open Provenance Model -- Psychologically-Inspired Automated Decision Making -- An OPM Profile for Decision Making -- Decision Provenance Queries -- Conclusion -- References -- Science Applications -- Detecting Duplicate Records in Scientific Workflow Results -- Introduction -- Related Work -- Data-Driven Workflows and Provenance Trace -- Provenance-Guided Detection of Duplicates -- Verifying the Determinism of Analysis Operations -- Collection-Based Workflows -- Validation -- What Is the Benefit in Terms of Reducing the Number of Record Pair Comparisons? -- Are Real-World Analysis Operations Deterministic? -- Conclusions and Future Work -- References -- The Xeros Data Model: Tracking Interpretations of Archaeological Finds -- Introduction -- Related Work -- Xeros: Representation and Operations -- Extension -- Edition -- Reduction -- Idempotence -- Completion -- Cross-Entity Completion -- Post-fact Merging -- Pre-fact Recall -- Scalability -- Conclusions -- References -- Using Domain-Specific Data to Enhance Scientific Workflow Steering Queries -- Introduction -- Motivation: Steering for Comparative Genomics Experiments -- SciCumulus Engine and Algebraic Workflow Representation -- Enriching Provenance with Domain-Specific Data -- Experimental Results -- Related Work -- Conclusions -- References -- Networks -- Network Analysis on Provenance Graphs from a Crowdsourcing Application -- Introduction -- CollabMap -- CollabMap Workflow -- Recording Provenance -- Provenance Graphs -- Methods -- Results and Discussion -- Degree Distribution -- Graph Diameter -- Densification -- Conclusion -- References -- Modelling Provenance Using Structured Occurrence Networks -- Introduction -- Benefits and Limitations -- Related Work -- Paper Organization -- Structured Occurrence Networks -- SONs Modelling Patterns for Provenance Simple Values Manipulation and Variable Assignment -- Workflow Fragments -- Agents and Their Provenance -- Modelling Activities with a Finite Duration -- SON and PROV -- Conclusions -- References -- Demonstrations -- DEMO: ourSpaces - A Provenance Enabled Virtual Research Environment -- Introduction -- Provenance in ourSpaces -- Demonstration Content -- References -- SOLE: Linking Research Papers with Science Objects -- Introduction -- Related Work -- SOLE -- Demonstration Scenario -- Conclusion -- References -- DEMO: Managing the Provenance of Crowdsourced Disruption Reports -- Introduction -- Application Scenario -- System Architecture -- Data Integration -- Provenance Information -- Report Assessment -- References -- Designing a Provenance-Based Climate Data Analysis Application -- Introduction -- UV-CDAT Overview -- UV-CDAT Provenance -- Using UV-CDAT as an End-to-End Analysis Tool -- Conclusion -- References -- Posters -- Quality Assessment, Provenance, and the Web of Linked Sensor Data -- Introduction -- Quality Assessment Framework -- Provenance and Quality Assessment -- References -- Integrating Text and Graphics to Present Provenance Information -- Introduction -- Visualisation Services -- Discussion -- References -- Exploring Provenance in a Linked Data Ecosystem -- Introduction -- Provenance and Open Data -- Conclusion -- References -- Enabling Re-executions of Parallel Scientific Workflows Using Runtime Provenance Data -- Introduction -- SciMultaneous -- Experimental Results and Conclusions -- References -- Access Control for OPM Provenance Graphs -- References -- Improving the Understanding of Provenance and Reproducibility of a Multi-Sensor Merged Climate Data Record -- Provenance Tracking in R -- CXXR -- Provenance Tracking and CXXR -- Xenogenesis -- Environments -- Conclusion -- References The Semiotics of HTTP URLs -- FRBR and FRIR -- Explaining HTTP with FRBR, FRIR, and PROV-O -- Implementation -- Discussion -- Conclusion -- References -- A PROV Encoding for Provenance Analysis Using Deductive Rules -- Introduction -- Contributions and Approach -- Related Work -- PROV Provenance Graphs as Deductive Databases -- Example: Collaborative Document Editing -- Background: Datalog Basics -- Datalog Encoding of PROV Graphs -- PROV Constraints as Datalog Rules -- Mapping PROV Rules to Datalog Rules and Queries -- Limitations of Mapping and Rules as DLV Constraints -- Examples Rules and Queries -- Provenance Validation by Constraint Checking -- Conclusions -- References -- Reconstruction -- Declarative Rules for Inferring Fine-Grained Data Provenance from Scientific Workflow Execution Traces -- Introduction -- Workflows, Traces, and Dependencies -- Fine-Grained Data Dependency Rules -- Dependency Rule Language -- Abstract Model and Dependency Rule Implementation -- Dependency Rules for Common Actor Invocation Patterns -- Related Work -- Summary -- References -- Automatic Discovery of High-Level Provenance Using Semantic Similarity -- Introduction -- Terminology and Key Concepts -- High-Level Provenance -- PROV-DM: The Provenance Data Model -- Proposed Approach -- Discovering Imprecise Derivations -- High-Level Precise Derivations -- Precise Derivations at Finer Granularity -- Use Case: News Versioning -- Documents and Properties -- Extracting Properties through Named Entity Recognition -- Similarity Measure -- Coarse-Grained Provenance through Clustering -- Finer-Grained Provenance -- Evaluation -- Related Work -- Discussion and Future Work -- Conclusions -- References -- Transparently deriving the provenance of user decisions -- Introduction -- Explaining User Decisions -- Motivating Example -- Explanations -- Overall Approach and Background The Provenance Store prOOst for the Open Provenance Model -- Introduction -- The Provenance Store prOOst -- Graph Database: Neo4j -- Query Language: Gremlin -- Conclusions and Future Work -- References -- A Comprehensive Model for Provenance -- Introduction -- Provenance Model -- Conclusion -- References -- Provenance Representation in the Global Change Information System (GCIS) -- Background -- National Climate Assessment (NCA) -- Provenance Representation -- Future Plans -- References -- Integrating Provenance into an Operational Data Product Information System -- On Presenting Apropos Provenance for Situation Awareness and Data Forensics -- Introduction -- Presenting Provenance for Data Forensics in Smart Grid -- Determining Apropos Provenance Presentation View -- Conclusion -- References -- Author Index |
| Title | Provenance and Annotation of Data and Processes |
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