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Provenance and Annotation of Data and Processes|Marta Mattoso

Provenance and Annotation of Data and Processes : 6th International Provenance and Annotation Workshop, Ipaw 2016, McLean, Va, Usa, June 7-8, 2016, Pro

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Overview

RecProv: Towards Provenance-Aware Userspace Record and Replay.- Tracking and Analyzing the Evolution of Provenance from Scripts.- Trade-offs in Automatic Provenance Capture.- Analysis of Memory Constrained Live Provenance.- Analyzing Provenance across Heterogeneous Provenance Graphs.- Prov Viewer: A Graph-Based Visualization Tool for Interactive Exploration of Provenance Data.- Intermediate Notation for Provenance and Workflow Reproducibility.- Towards the Domain Agnostic Generation of Natural Language Explanations from Provenance Graphs for Casual Users.- Versioning Version Trees: The Provenance of Actions that Affect MultipleVersions.- Enabling Web Service Request Citation by Provenance Information.- Modelling Provenance of Sensor Data for Food Safety Compliance Checking.- Modelling Provenance Collection Points and Their Impact on Provenance Graphs.- Yin & Yang: Demonstrating Complementary Provenance from NoWorkflow & YesWorkflow.- MPO: a System to Document and Analyze Distributed Heterogeneous Workflows.- PROV-JSONLD: A JSON and Linked Data Representation for Provenance.- Provenance as Essential Infrastructure for Data Lakes.- Provenance-Based Retrieval: Fostering Reuse and Reproducibility across Scientific Disciplines.- Addressing Scientific Rigor in Data Analytics Using Semantic Workflows.- Reconstructing Human-Generated Provenance through Similarity-Based Clustering.- Social Media Data in Research: Provenance Challenges.- Fine-Grained Provenance Collection over Scripts Through Program Slicing.- Prov2ONE: An Algorithm for Automatically Constructing ProvONEProvenance Graphs.- Implementing Unied Why- and Why-Not Provenance through Games.- SisGExp: Rethinking Long-Tail Agronomic Experiments.- Towards Provenance Capturing of Quantified Self Data.- A Review of Guidelines and Models for Representation of Provenance Information from Neuroscience Experiments.- Tracking and Establishing Provenance of Earth Science Datasets: A NASA-Based Example.- DataONE: A Data Federation with Provenance Support.

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Details

  • ISBN-13: 9783319405926
  • ISBN-10: 3319405926
  • Publisher: Springer
  • Publish Date: June 2016
  • Dimensions: 9.21 x 6.14 x 0.53 inches
  • Shipping Weight: 0.79 pounds
  • Page Count: 236

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