This paper presents our ongoing effort on developing a principled methodology for automatic ontology mapping based on BayesOWL, a probabilistic framework we developed for modeling ...
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
Umarani Pappuswamy, Dumisizwe Bhembe, Pamela W. Jo...
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
In this study, we describe our system at the Intellectual Property track of the 2009 CrossLanguage Evaluation Forum campaign (CLEF-IP). The CLEF-IP track addressed prior art searc...
Abstract. The requirements for effective search and management of the WWW are stronger than ever. Currently Web documents are classified based on their content not taking into acco...
Maria Halkidi, Benjamin Nguyen, Iraklis Varlamis, ...