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.
|Number of pages
|Life Science Journal
|Published - 2014
All Science Journal Classification (ASJC) codes
- General Biochemistry,Genetics and Molecular Biology