Provenance browser: Displaying and querying scientific workflow provenance graphs

Manish Kumar Anand, Shawn Bowers, Bertram Ludäscher

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

Abstract

This demonstration presents an interactive provenance browser for visualizing and querying data dependency (lineage) graphs produced by scientific workflow runs. The browser allows users to explore different views of provenance as well as to express complex and recursive graph queries through a high-level query language (QLP). Answers to QLP queries are lineage preserving in that queries return sets of lineage dependencies (denoting provenance graphs), which can be further queried and visually displayed (as graphs) in the browser. By combining provenance visualization, navigation, and query, the provenance browser can enable scientists to more easily access and explore scientific workflow provenance information.

Original languageEnglish (US)
Title of host publication26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings
Pages1201-1204
Number of pages4
DOIs
StatePublished - 2010
Externally publishedYes
Event26th IEEE International Conference on Data Engineering, ICDE 2010 - Long Beach, CA, United States
Duration: Mar 1 2010Mar 6 2010

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other26th IEEE International Conference on Data Engineering, ICDE 2010
Country/TerritoryUnited States
CityLong Beach, CA
Period3/1/103/6/10

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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