We propose a new method for automated large scale gathering of Web images relevant to specified concepts. Our main goal is to build a knowledge base associated with as many conce...
Although many algorithms have been developed to harvest lexical resources, few organize the mined terms into taxonomies. We propose (1) a semi-supervised algorithm that uses a roo...
This work proposes a system process for extracting automatically a fuzzy ontology from a collection of web resources. The approach exploits the Formal Concept Analysis theory for ...
Carmen De Maio, Giuseppe Fenza, Vincenzo Loia, Sab...
This paper presents an approach that provides the necessary assistance to those who are in charge of engineering communities of Web services. Current practices indicate that Web se...
Sattanathan Subramanian, Philippe Thiran, Zakaria ...
—In this paper, we describe and evaluate a Web service discovery framework using OWL-S advertisements, combined with the distinction between service and Web service of the WSMO D...