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 language | English |
|---|---|
| Article number | 81 |
| Pages (from-to) | 588-596 |
| Number of pages | 9 |
| Journal | Life Science Journal |
| Volume | 11 |
| Issue number | 7 |
| Publication status | Published - 2014 |
All Science Journal Classification (ASJC) codes
- Biochemistry, Genetics and Molecular Biology(all)