Probe-It! > Publications

2007

Nicholas Del Rio and Paulo Pinheiro da Silva. Identifying and Explaining Map Imperfections Through Knowledge Provenance Visualization. Technical report UTEP-CS-07-43a, The University of Texas at El Paso, June 2007. pdf

This GIS centered paper describes a user study in which we assess the effectiveness of providing scientists with provenance information when identifying and explaining various imperfections in contour maps.

Nicholas Del Rio, Paulo Pinheiro da Silva, Ann Q. Gates, and Leonardo Salayandia. Semantic annotation of maps through knowledge provenance. In Frederico T. Fonseca, M. Andrea Rodriguez, and Sergei Levashkin (editors), In proceedings of the second International Conference on Geospatial Semantics (GeoS), Mexico City, Mexico. Volume 4853 of LNCS, pages 20-35. Springer, 2007. pdf ppt

This paper describes how to further enrich semantic descriptions of complex results by annotating their associated provenance.

Nicholas Del Rio and Paulo Pinheiro da Silva. Probe-it! visualization support for provenance. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, N. Paragios, T. Syeda-Mahmood, T. Ju, Z. Liu, S. Coquillart, C. Cruz-Neira, T. Muller, T. Malzbender, (edts.), Proceedings of the Second International Symposium on Visual Computing (ISVC 2), Lake Tahoe, NV, USA. Volume 4842 of LNCS, pages 732-741. Springer, 2007. pdf

This paper introduces Probe-It!, a Proof Markup Language (PML) provenance browser and explains how it graphically presents provenance information associated with results of scientific workflows. This paper describes the various views and viewers which compose the tool.

Thesis

Nicholas Del Rio. Provenance Support for Quality Assessment of Scientific Results: A User Study. MS Thesis, University of Texas at El Paso, El Paso, TX, 2007. pdf ppt

This thesis describes how Probe-It! can be used by scientists to evaluate the quality of scientific workflow results, namely gravity contour maps. This document presents a background of similar work, a detailed description of Probe-It! (i.e., how it was implemented and its composing views and viewers), and a user study providing statistically sound evidence that scientists can evaluate the quality of scientific results using Probe-It! better than scientists without access to the tool.