Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
We are developing an automatic method to compile an encyclopedic corpus from the Web. In our previous work, paragraph-style descriptions for a term are extracted from Web pages an...
The Web consists of a large amount of unstructured information that hardly can be elaborated by automatic agents. In recent years, a considerable number of techniques for informat...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
We propose a novel method to automatically acquire a term-frequency-based taxonomy from a corpus using an unsupervised method. A term-frequency-based taxonomy is useful for applic...
Karin Murthy, Tanveer A. Faruquie, L. Venkata Subr...
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...