Picture of DNA strand

Pioneering chemical biology & medicinal chemistry through Open Access research...

Strathprints makes available scholarly Open Access content by researchers in the Department of Pure & Applied Chemistry, based within the Faculty of Science.

Research here spans a wide range of topics from analytical chemistry to materials science, and from biological chemistry to theoretical chemistry. The specific work in chemical biology and medicinal chemistry, as an example, encompasses pioneering techniques in synthesis, bioinformatics, nucleic acid chemistry, amino acid chemistry, heterocyclic chemistry, biophysical chemistry and NMR spectroscopy.

Explore the Open Access research of the Department of Pure & Applied Chemistry. Or explore all of Strathclyde's Open Access research...

Using visual representations for the searching and browsing of large, complex, multimedia data sets

Grierson, H.J. and Corney, J.R. and Hatcher, Gillian (2015) Using visual representations for the searching and browsing of large, complex, multimedia data sets. International Journal of Information Management, 35 (2). pp. 244-252. ISSN 0268-4012

[img]
Preview
PDF (Grierson-etal-2015-browsing-of-large-complex-multimedia-data-sets)
Grierson_etal_2015_browsing_of_large_complex_multimedia_data_sets.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo

Download (1MB) | Preview

Abstract

Industry as a whole has become increasingly global and digitized in recent years, resulting in a huge increase in data generated by companies, projects and even individuals. This has led to great challenges in visualizing and searching for information. The speed and accuracy at which these large datasets can be effectively mined for information that is relevant and valuable can have a significant effect on company performance. Therefore, this research investigates the feasibility of using visual representations for the searching and browsing of large, complex, multimedia data sets. This paper introduces the SIZL (Searching for Information in a Zoom Landscape) system, which was developed to enable the authors to effectively test whether 2.5D environments can benefit effective data management. The usability of this visualization system was analyzed using experiments and a combination of quantitative and qualitative data collection methods. The paper presents these results and discusses potential industrial applications as well as future work that will improve the SIZL data visualization method.