Integrating text and graphics to present provenance information

Thomas Bouttaz*, Alan Eckhardt, Chris Mellish, Peter Edwards

*Corresponding author for this work

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

Abstract

We describe two approaches for the visualisation of provenance - one using natural language generation to produce texts, the other using a graphical approach. Our main contribution is a mechanism using a combination of these modalities.

Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes - 4th International Provenance and Annotation Workshop, IPAW 2012, Revised Selected Papers
Pages223-225
Number of pages3
DOIs
Publication statusPublished - 7 Nov 2012
Event4th International Provenance and Annotation Workshop, IPAW 2012 - Santa Barbara, CA, United States
Duration: 19 Jun 201221 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7525 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Provenance and Annotation Workshop, IPAW 2012
CountryUnited States
CitySanta Barbara, CA
Period19/06/1221/06/12

Keywords

  • HCI
  • NLG
  • provenance
  • visualisation

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  • Cite this

    Bouttaz, T., Eckhardt, A., Mellish, C., & Edwards, P. (2012). Integrating text and graphics to present provenance information. In Provenance and Annotation of Data and Processes - 4th International Provenance and Annotation Workshop, IPAW 2012, Revised Selected Papers (pp. 223-225). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7525 LNCS). https://doi.org/10.1007/978-3-642-34222-6_20