SIZL: a system to search and browse large amounts of information in multiple formats

Hilary Grierson, Jonathan Corney

Research output: Contribution to journalArticlepeer-review

Abstract

The quantity of data generated and stored globally is increasing at a phenomenal rate. This paper presents the preliminary findings from an evaluation of a data visualization system designed to enable faster and more accurate searching and understanding of large datasets. The first section introduces the concept of data visualization systems. The second section presents the aims and objectives of this study. The third section introduces the developed data visualization system, and outlines the methodology which was employed to evaluate its effectiveness. The fourth section presents the findings from the quantitative and qualitative data gathered during evaluation, and the fifth section discusses the significance of these results as well as the limitations of the research at this stage. The paper concludes with details of further work required to refine the research and provide further insights into the benefits of the data visualization system.
Original languageEnglish
JournalJournal of Information Technology and Management
Publication statusPublished - 2014

Keywords

  • big data
  • searching and browsing
  • information management

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