Big data case study: A web-log based framework for analyzing the use-quality of a website

Hyun Ho Lee, Jin Chul Park, Jong Min Lee, Nam Hun Park, Won Suk Lee

Research output: Contribution to journalArticle

Abstract

One key element of assessing a website is to measure how much it is used by users. This paper proposes a framework of measuring the use-quality of a website by analyzing its web-log. A web-log is a representative type of big data, which is spotlighted as an important emerging issue. With the web-log of a website, metadata for its users and contents allows use-quality analysis from various viewpoints. As a big data case study, this paper describes the overview of how to process the web-log and metadata under the proposed framework. It describes web-log standardization, web-log DW model, knowledge repository, and the overall analysis workflow. In addition, it shows the actual case that analyzes the use-qualities of a few websites under the proposed framework.

Original languageEnglish
Article number81
Pages (from-to)588-596
Number of pages9
JournalLife Science Journal
Volume11
Issue number7
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)

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    Lee, H. H., Park, J. C., Lee, J. M., Park, N. H., & Lee, W. S. (2014). Big data case study: A web-log based framework for analyzing the use-quality of a website. Life Science Journal, 11(7), 588-596. [81].