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Provenance and Annotation of Data and Processes

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Cover of 'Provenance and Annotation of Data and Processes'

Table of Contents

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    Book Overview
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    Chapter 1 ProvAbs : Model, Policy, and Tooling for Abstracting PROV Graphs
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    Chapter 2 ProvGen: Generating Synthetic PROV Graphs with Predictable Structure
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    Chapter 3 Walking into the Future with PROV Pingback: An Application to OPeNDAP Using Prizms
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    Chapter 4 Provenance for Online Decision Making
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    Chapter 5 Regenerating and Quantifying Quality of Benchmarking Data Using Static and Dynamic Provenance
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    Chapter 6 Provenance and Annotation of Data and Processes
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    Chapter 7 Label Flow: Exploiting Workflow Provenance to Surface Scientific Data Provenance
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    Chapter 8 Auditing and Maintaining Provenance in Software Packages
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    Chapter 9 An Analytical Survey of Provenance Sanitization
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    Chapter 10 A Provenance-Based Policy Control Framework for Cloud Services
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    Chapter 11 Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments
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    Chapter 12 Looking Inside the Black-Box: Capturing Data Provenance Using Dynamic Instrumentation
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    Chapter 13 Generating Scientific Documentation for Computational Experiments Using Provenance
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    Chapter 14 Computing Location-Based Lineage from Workflow Specifications to Optimize Provenance Queries
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    Chapter 15 Interrogating Capabilities of IoT Devices
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    Chapter 16 A Lightweight Provenance Pingback and Query Service for Web Publications
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    Chapter 17 Provenance-Based Searching and Ranking for Scientific Workflows
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    Chapter 18 PROV-O-Viz - Understanding the Role of Activities in Provenance
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    Chapter 19 The Aspect-Oriented Architecture of the CAPS Framework for Capturing, Analyzing and Archiving Provenance Data
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    Chapter 20 Improving Workflow Design Using Abstract Provenance Graphs
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    Chapter 21 Early Discovery of Tomato Foliage Diseases Based on Data Provenance and Pattern Recognition
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    Chapter 22 Provenance in Open Data Entity-Centric Aggregation
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    Chapter 23 Enhancing Provenance Representation with Knowledge Based on NFR Conceptual Modeling: A Softgoal Catalog Approach
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    Chapter 24 Provenance Storage, Querying, and Visualization in PBase
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    Chapter 25 Engineering Choices for Open World Provenance
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    Chapter 26 Towards Supporting Provenance Gathering and Querying in Different Database Approaches
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    Chapter 27 Provenance for Explaining Taxonomy Alignments
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    Chapter 28 Challenges for Provenance Analytics Over Geospatial Data
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    Chapter 29 Adaptive RDF Query Processing Based on Provenance
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    Chapter 30 Using Well-Founded Provenance Ontologies to Query Meteorological Data
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    Chapter 31 Applying W3C PROV to Express Geospatial Provenance at Feature and Attribute Level
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    Chapter 32 ProvStore: A Public Provenance Repository
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    Chapter 33 Sentence Templating for Explaining Provenance
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    Chapter 34 Extending PROV Data Model for Provenance-Aware Sensor Web
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    Chapter 35 SC-PROV: A Provenance Vocabulary for Social Computation
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    Chapter 36 RDataTracker and DDG Explorer
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    Chapter 37 Provenance Support for Medical Research
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    Chapter 38 Experiencing PROV-Wf for Provenance Interoperability in SWfMSs
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    Chapter 39 Erratum to: Provenance in Open Data Entity-Centric Aggregation
Attention for Chapter 28: Challenges for Provenance Analytics Over Geospatial Data
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Chapter title
Challenges for Provenance Analytics Over Geospatial Data
Chapter number 28
Book title
Provenance and Annotation of Data and Processes
Published in
Lecture notes in computer science, March 2015
DOI 10.1007/978-3-319-16462-5_28
Book ISBNs
978-3-31-916461-8, 978-3-31-916462-5
Authors

Daniel Garijo, Yolanda Gil, Andreas Harth

Editors

Bertram Ludäscher, Beth Plale

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 20%
United States 1 20%
Unknown 3 60%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Researcher 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Unknown 2 40%