We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...
Organizations like the Internet Archive have been capturing Web contents over decades, building up huge repositories of time-versioned pages. The timestamp annotations and the she...
Gerhard Weikum, Nikos Ntarmos, Marc Spaniol, Peter...
We propose mixtures of hidden Markov models for modelling clickstreams of web surfers. Hence, the page categorization is learned from the data without the need for a (possibly cumb...
Ontology-Driven Software Development (ODSD) advocates using ontologies for capturing knowledge about a software system at development time. So far, ODSD approaches have mainly focu...
An important aspect of making the Web accessible to blind users is ensuring that all important web page elements such as links, clickable buttons, and form fields have explicitly ...
Muhammad Asiful Islam, Yevgen Borodin, I. V. Ramak...