Exploring the Potentialities of Automatic Extraction of University Webometric Information
The main objective of this work is to show the potentialities of recently developed
approaches for automatic knowledge extraction directly from the universities’ websites. The
information automatically extracted can be potentially updated with a frequency higher than
once per year, and be safe from manipulations or misinterpretations. Moreover, this approach
allows us flexibility in collecting indicators about the efficiency of universities’ websites and
their effectiveness in disseminating key contents. These new indicators can complement