The paper discusses some innovative aspects related to the integration of a framework based on Answer Set Programming in an Information Retrieval Agent, namely, the Global Search A...
Giovambattista Ianni, Francesco Calimeri, Vincenzi...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
This work introduces a formal framework for the social acquisition of ontologies which are constructed dynamically from overhearing the possibly conflicting symbolic interaction o...
Information systems often require combining datasets available in different formats, and geographical information systems are no exception. While semantic technologies have been u...
In the traditional data exchange setting, source instances are restricted to be complete in the sense that every fact is either true or false in these instances. Although natural ...