Grasping the content of web servers logs: A linguistic summarization approach

Abstract

Analyses of Web log servers are needed in many applications and can be useful to designers and analysts of computer networks, and are also an interesting research problem. Traditionally, some statistics are computed and used for analytic and design purposes. We present the use of verbalization of results of Web server log data analysis/mining through linguistic data summaries based on fuzzy logic with linguistic quantifiers. Linguistic summaries of both static and dynamic analyses are presented, with an emphasis on the latter. Examples of potentially interesting linguistic summaries are shown. © 2013 Springer-Verlag.