Architecture for template-driven provenance recording

Elliot Fairweather, Pinar Alper, Talya Porat, Vasa Curcin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Provenance templates define abstract patterns of provenance data and have been shown to be useful when implementing support for provenance capture in existing software tools. Their strength is in exposing only the relevant provenance capture actions through a service interface, whilst hiding the complexities associated with managing the provenance data. We present an architecture for the creation and management of libraries of provenance documents constructed using templates.

Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings
EditorsKhalid Belhajjame, Ashish Gehani, Pinar Alper
PublisherSpringer Verlag
Pages217-221
Number of pages5
ISBN (Print)9783319983783
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes
Event7th International Provenance and Annotation Workshop, IPAW 2018 - London, United Kingdom
Duration: 9 Jul 201810 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11017 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Provenance and Annotation Workshop, IPAW 2018
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/1810/07/18

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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