The W3C PROV family of specifications for modelling provenance metadata

Paolo Missier, Khalid Belhajjame, James Cheney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Provenance, a form of structured metadata designed to record the origin or source of information, can be instrumental in deciding whether information is to be trusted, how it can be integrated with other diverse information sources, and how to establish attribution of information to authors throughout its history. The PROV set of specifications, produced by the World Wide Web Consortium (W3C), is designed to promote the publication of provenance information on the Web, and offers a basis for interoperability across diverse provenance management systems. The PROV provenance model is deliberately generic and domain-agnostic, but extension mechanisms are available and can be exploited for modelling specific domains. This tutorial provides an account of these specifications. Starting from intuitive and informal examples that present idiomatic provenance patterns, it progressively introduces the relational model of provenance along with the constraints model for validation of provenance documents, and concludes with example applications that show the extension points in use.

Original languageEnglish
Title of host publicationAdvances in Database Technology - EDBT 2013
Subtitle of host publication16th International Conference on Extending Database Technology, Proceedings
Pages773-776
Number of pages4
DOIs
Publication statusPublished - 2013
Event16th International Conference on Extending Database Technology, EDBT 2013 - Genoa, Italy
Duration: 18 Mar 201322 Mar 2013

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Conference on Extending Database Technology, EDBT 2013
Country/TerritoryItaly
CityGenoa
Period18/03/1322/03/13

Keywords

  • Design
  • E [Data]: General
  • H.2.3 [Database Management]: Languages - Data description languages
  • Standardization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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