Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
In this paper, we present automated techniques for bootstrapping and populating specialized domain ontologies by organizing and mining a set of relevant overlapping Web sites prov...
Hasan Davulcu, Srinivas Vadrevu, Saravanakumar Nag...
The web is fast maturing into an important marketing medium that provides businesses with the ability to undertake oneto-one marketing and provide personalised services to their cu...
Sarabjot S. Anand, Matthias Baumgarten, Alex G. B&...
Problems with large monolithical ontologies in terms of reusability, scalability and maintenance have lead to an increasing interest in modularization techniques for ontologies. Cu...
Mathieu d'Aquin, Anne Schlicht, Heiner Stuckenschm...
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...