We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
Ontology-Based Information Extraction (OBIE) has recently emerged as a subfield of Information Extraction (IE). Here, ontologies - which provide formal and explicit specificatio...
A method to induce bayesian networks from data to overcome some limitations of other learning algorithms is proposed. One of the main features of this method is a metric to evalua...
Information embedding (IE) is the transmission of information within a host signal subject to a distortion constraint. There are two types of embedding methods, namely irreversibl...
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...