Quantitative evaluation of Web site content and structure

Abstract

Data regarding the use of autonomous software tools to capture the characteristics of commercial Web information systems, determine their specific importance, and store them in a central data repository, are presented. The ultimate goal is to develop a consistent analysis and evaluation framework for publicly accessible hypertext structures. Based on the preprocessed information, a multi-methodological approach is chosen that comprises statistical clustering, textual analysis, supervised and non-supervised neural networks and manual classification for validation purposes.