As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this work, we present and compare several methods for web page classification focusing particularly on supervised classification methods. Rocchio, the method we choose for its efficiency, is tested on the reference corpus “20newsGroups”, adopting different similarity measures. Results illustrate some limitations related mainly to ignoring text semantics. In order to overcome these limitations, this work proposes to extend the original Rocchio through vector conceptualization replacing terms with related concepts and by adopting semantic similarity measures, all using semantic resources as ontologies, towards semantic Rocchio-based classification method.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.