A survey on provenance: What for? What form? What from? View Full Text


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Article Info

DATE

2017-10-16

AUTHORS

Melanie Herschel, Ralf Diestelkämper, Houssem Ben Lahmar

ABSTRACT

Provenance refers to any information describing the production process of an end product, which can be anything from a piece of digital data to a physical object. While this survey focuses on the former type of end product, this definition still leaves room for many different interpretations of and approaches to provenance. These are typically motivated by different application domains for provenance (e.g., accountability, reproducibility, process debugging) and varying technical requirements such as runtime, scalability, or privacy. As a result, we observe a wide variety of provenance types and provenance-generating methods. This survey provides an overview of the research field of provenance, focusing on what provenance is used for (what for?), what types of provenance have been defined and captured for the different applications (what form?), and which resources and system requirements impact the choice of deploying a particular provenance solution (what from?). For each of these three key questions, we provide a classification and review the state of the art for each class. We conclude with a summary and possible future research challenges. More... »

PAGES

881-906

References to SciGraph publications

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  • 2015-03-21. noWorkflow: Capturing and Analyzing Provenance of Scripts in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2015-03-21. ProvAbs: Model, Policy, and Tooling for Abstracting PROV Graphs in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2015-03-21. An Analytical Survey of Provenance Sanitization in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2008. Business Provenance – A Technology to Increase Traceability of End-to-End Operations in ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2008
  • 2001-10-12. Why and Where: A Characterization of Data Provenance in DATABASE THEORY — ICDT 2001
  • 2009. An Access Control Language for a General Provenance Model in SECURE DATA MANAGEMENT
  • 2013. First-Order Provenance Games in IN SEARCH OF ELEGANCE IN THE THEORY AND PRACTICE OF COMPUTATION
  • 2011. Improving Workflow Fault Tolerance through Provenance-Based Recovery in SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT
  • 2011. ProPub: Towards a Declarative Approach for Publishing Customized, Policy-Aware Provenance in SCIENTIFIC AND STATISTICAL DATABASE MANAGEMENT
  • 2006. Managing Rapidly-Evolving Scientific Workflows in PROVENANCE AND ANNOTATION OF DATA
  • 2016-06-04. DataONE: A Data Federation with Provenance Support in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
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  • 2015-04-30. Obscuring Provenance Confidential Information via Graph Transformation in TRUST MANAGEMENT IX
  • 2014-05-31. A roadmap for privacy-enhanced secure data provenance in JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
  • 2008. A Model for Sharing of Confidential Provenance Information in a Query Based System in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2008. Kepler/pPOD: Scientific Workflow and Provenance Support for Assembling the Tree of Life in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2005-10-25. An annotation management system for relational databases in THE VLDB JOURNAL
  • 2008-01-01. An Approach to Evaluate Data Trustworthiness Based on Data Provenance in SECURE DATA MANAGEMENT
  • 2008. Mapping the NRC Dataflow Model to the Open Provenance Model in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2016-06-04. Tracking and Analyzing the Evolution of Provenance from Scripts in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2016-06-04. Analyzing Provenance Across Heterogeneous Provenance Graphs in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2008. Data Lineage Model for Taverna Workflows with Lightweight Annotation Requirements in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2016-06-04. Yin & Yang: Demonstrating Complementary Provenance from noWorkflow & YesWorkflow in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2010-11-30. StarFlow: A Script-Centric Data Analysis Environment in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2015-03-21. PROV-O-Viz - Understanding the Role of Activities in Provenance in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2006. Provenance Explorer – Customized Provenance Views Using Semantic Inferencing in THE SEMANTIC WEB - ISWC 2006
  • 2006. Provenance Collection Support in the Kepler Scientific Workflow System in PROVENANCE AND ANNOTATION OF DATA
  • 2008. Using Provenance to Support Real-Time Collaborative Design of Workflows in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
  • 2008. A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows in PROVENANCE AND ANNOTATION OF DATA AND PROCESSES
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    39 schema:description Provenance refers to any information describing the production process of an end product, which can be anything from a piece of digital data to a physical object. While this survey focuses on the former type of end product, this definition still leaves room for many different interpretations of and approaches to provenance. These are typically motivated by different application domains for provenance (e.g., accountability, reproducibility, process debugging) and varying technical requirements such as runtime, scalability, or privacy. As a result, we observe a wide variety of provenance types and provenance-generating methods. This survey provides an overview of the research field of provenance, focusing on what provenance is used for (what for?), what types of provenance have been defined and captured for the different applications (what form?), and which resources and system requirements impact the choice of deploying a particular provenance solution (what from?). For each of these three key questions, we provide a classification and review the state of the art for each class. We conclude with a summary and possible future research challenges.
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