Janus: From workflows to semantic provenance and linked open data

Paolo Missier*, Satya S. Sahoo, Jun Zhao, Carole Goble, Amit Sheth

*Corresponding author for this work

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

Abstract

Data provenance graphs are form of metadata that can be used to establish a variety of properties of data products that undergo sequences of transformations, typically specified as workflows. Their usefulness for answering user provenance queries is limited, however, unless the graphs are enhanced with domain-specific annotations. In this paper we propose a model and architecture for semantic, domain-aware provenance, and demonstrate its usefulness in answering typical user queries. Furthermore, we discuss the additional benefits and the technical implications of publishing provenance graphs as a form of Linked Data. A prototype implementation of the model is available for data produced by the Taverna workflow system.

Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes - Third International Provenance and Annotation Workshop, IPAW 2010, Revised Selected Papers
Pages129-141
Number of pages13
DOIs
Publication statusPublished - 2010
Event3rd International Provenance and Annotation Workshop, IPAW 2010 - Troy, NY, United States
Duration: 15 Jun 201016 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6378 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Provenance and Annotation Workshop, IPAW 2010
Country/TerritoryUnited States
CityTroy, NY
Period15/06/1016/06/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Janus: From workflows to semantic provenance and linked open data'. Together they form a unique fingerprint.

Cite this