Provenance and Annotation of Data and Processes

This book constitutes the revised selected papers of the 5th International Provenance and Annotation Workshop, IPAW 2014, held in Cologne, Germany in June 2014. The 14 long papers, 20 short papers and 4 extended abstracts presented were carefully reviewed and selected from 53 submissions. The papers include tools that enable provenance capture from software compilers, from web publications, and from scripts, using existing audit logs, and employing both static and dynamic instrumentation.

Inhalt

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.