Prov viewer: A graph-based visualization tool for interactive exploration of provenance data

Troy Kohwalter, Thiago Oliveira, Juliana Freire, Esteban Clua, Leonardo Murta

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

Abstract

The analysis of provenance data for an experiment is often crucial to understand the achieved results. For long-running experiments or when provenance is captured at a low granularity, this analysis process can be overwhelming to the user due to the large volume of provenance data. In this paper we introduce, Prov Viewer, a provenance visualization tool that enables users to interactively explore provenance data. Among the visualization and exploratory features, we can cite zooming, filtering, and coloring. Moreover, we use of other properties such as shape and size to distinguish visual elements. These exploratory features are linked to the provenance semantics to ease the comprehension process. We also introduce collapsing and filtering strategies, allowing different levels of granularity exploration and analysis. We describe case studies that show how Prov Viewer has been successfully used to explore provenance in different domains, including games and urban data.

Original languageEnglish (US)
Title of host publicationProvenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings
EditorsBoris Glavic, Marta Mattoso
PublisherSpringer Verlag
Pages71-82
Number of pages12
ISBN (Print)9783319405926
DOIs
StatePublished - 2016
Event6th International Provenance and Annotation Workshop, IPAW 2016 - McLean, United States
Duration: Jun 7 2016Jun 8 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9672
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Provenance and Annotation Workshop, IPAW 2016
CountryUnited States
CityMcLean
Period6/7/166/8/16

Keywords

  • Analysis
  • Graph
  • Provenance
  • Tool
  • Visualization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Kohwalter, T., Oliveira, T., Freire, J., Clua, E., & Murta, L. (2016). Prov viewer: A graph-based visualization tool for interactive exploration of provenance data. In B. Glavic, & M. Mattoso (Eds.), Provenance and Annotation of Data and Processes - 6th International Provenance and Annotation Workshop, IPAW 2016, Proceedings (pp. 71-82). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9672). Springer Verlag. https://doi.org/10.1007/978-3-319-40593-3_6