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{ "item_title" : "Provenance and Annotation of Data and Processes", "item_author" : [" Bertram Ludäscher", "Beth Plale "], "item_description" : "Standardization of Provenance models, Services, Representation.- ProvAbs: model, policy and tooling for abstracting PROV graphs.- ProvGen: generating provenance graphs with predictable structure.- Walking into the Future with PROV Pingback: An Application to Open dap using Prizms.- Provenance for Online Decision Making.- Regenerating and Quantifying Quality of Benchmarking Data using Static and Dynamic Provenance.- noWorkflow: Capturing and Analyzing Provenance of Scripts.- Label Flow: Exploiting Workflow Provenance to Surface Scientific Data Provenance.- Auditing and Maintaining Provenance in Software Packages.- An Analytical Survey of Provenance Sanitization.- A Provenance-based Policy Control Framework for Cloud Services.- Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments.- Looking Inside the Black-Box: Capturing Data Provenance using Dynamic Instrumentation.- Generating Scientific Documentation for Computational Experiments Using Provenance.- Optimizing Data Lineage Queries using StaticWorkflow Analysis.- Interrogating Capabilities of IoT Devices.- A Lightweight Provenance Pingback and Query Service for Web Publications.- Scientific Workflow Provenance Searching in PBase.- PROV-O-Viz - Understanding the Role of Activities in Provenance.- The Aspect-Oriented Architecture of the CAPS Framework for Capturing, Analyzing and Archiving Provenance Data.- Improving Workflow Design Using Abstract Provenance Graphs.- Early Discovery of Tomato Foliage Diseases Based on Data Provenance and Pattern Recognition.- Provenance in Open Data Entity-Centric Aggregation.- Enhancing Provenance Representation With Knowledge Based On NFR Conceptual Modeling: A Softgoal Catalog Approach.- Provenance Storage, Querying and Visualization in PBase.- Engineering Choices for Open World Provenance.- Towards Supporting Provenance Gathering and Querying in Different Database Approaches.- Provenance for Explaining Taxonomy Alignments.- Challenges in Modeling Geospatial Provenance.- Adaptive RDF Query Processing based on Provenance.- Using Well-Founded Provenance Ontologies to Query Meteorological Data.- Applying W3C PROV to express Geospatial Provenance at feature and attribute level.- ProvStore: A Public Provenance Repository.- Sentence Templating for Explaining Provenance.- Extending PROV Data Model for Provenance-Aware Sensor Web.- SC-PROV: A Provenance Vocabulary for Social Computation.- RDataTracker and DDG Explorer: Capture, Visualization and Querying of Provenance from R Scripts.- Provenance Support for Medical Research.- Experiencing PROV-Wf for Provenance Interoperability in SWfMSs.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/916/461/3319164619_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Provenance and Annotation of Data and Processes|Bertram Ludäscher

Provenance and Annotation of Data and Processes : 5th International Provenance and Annotation Workshop, Ipaw 2014, Cologne, Germany, June 9-13, 2014. R

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Overview

Standardization of Provenance models, Services, Representation.- ProvAbs: model, policy and tooling for abstracting PROV graphs.- ProvGen: generating provenance graphs with predictable structure.- Walking into the Future with PROV Pingback: An Application to Open dap using Prizms.- Provenance for Online Decision Making.- Regenerating and Quantifying Quality of Benchmarking Data using Static and Dynamic Provenance.- noWorkflow: Capturing and Analyzing Provenance of Scripts.- Label Flow: Exploiting Workflow Provenance to Surface Scientific Data Provenance.- Auditing and Maintaining Provenance in Software Packages.- An Analytical Survey of Provenance Sanitization.- A Provenance-based Policy Control Framework for Cloud Services.- Applying Provenance to Protect Attribution in Distributed Computational Scientific Experiments.- Looking Inside the Black-Box: Capturing Data Provenance using Dynamic Instrumentation.- Generating Scientific Documentation for Computational Experiments Using Provenance.- Optimizing Data Lineage Queries using StaticWorkflow Analysis.- Interrogating Capabilities of IoT Devices.- A Lightweight Provenance Pingback and Query Service for Web Publications.- Scientific Workflow Provenance Searching in PBase.- PROV-O-Viz - Understanding the Role of Activities in Provenance.- The Aspect-Oriented Architecture of the CAPS Framework for Capturing, Analyzing and Archiving Provenance Data.- Improving Workflow Design Using Abstract Provenance Graphs.- Early Discovery of Tomato Foliage Diseases Based on Data Provenance and Pattern Recognition.- Provenance in Open Data Entity-Centric Aggregation.- Enhancing Provenance Representation With Knowledge Based On NFR Conceptual Modeling: A Softgoal Catalog Approach.- Provenance Storage, Querying and Visualization in PBase.- Engineering Choices for Open World Provenance.- Towards Supporting Provenance Gathering and Querying in Different Database Approaches.- Provenance for Explaining Taxonomy Alignments.- Challenges in Modeling Geospatial Provenance.- Adaptive RDF Query Processing based on Provenance.- Using Well-Founded Provenance Ontologies to Query Meteorological Data.- Applying W3C PROV to express Geospatial Provenance at feature and attribute level.- ProvStore: A Public Provenance Repository.- Sentence Templating for Explaining Provenance.- Extending PROV Data Model for Provenance-Aware Sensor Web.- SC-PROV: A Provenance Vocabulary for Social Computation.- RDataTracker and DDG Explorer: Capture, Visualization and Querying of Provenance from R Scripts.- Provenance Support for Medical Research.- Experiencing PROV-Wf for Provenance Interoperability in SWfMSs.

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Details

  • ISBN-13: 9783319164618
  • ISBN-10: 3319164619
  • Publisher: Springer
  • Publish Date: April 2015
  • Dimensions: 9.21 x 6.14 x 0.65 inches
  • Shipping Weight: 0.96 pounds
  • Page Count: 298

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