Mar 172017
 

Avviso di seminario: lunedi 27 Marzo 2017 alle ore 16.00, nell’aula F presso il Dipartimento di Matematica ed Informatica dell’Università di Cagliari si terrà il seguente seminario.

Discrimination Discovery Exploiting Ontologies

Prof. Franco Turini, University of Pisa

Discrimination discovery from data consists of designing data mining methods for the actual discovery of discriminatory situations and practices hidden in a large amount of historical decision records. Approaches based on classification rule mining consider items at a flat concept level, with no exploitation of background knowledge on the hierarchical and inter-relational structure of domains. On the other hand, ontologies are a widespread and ever increasing means for expressing such a knowledge. In this talk, we propose a framework for discrimination discovery from ontologies, where contexts of prima-facie evidence of discrimination are summarized in the form of generalized classification rules at different levels of abstraction. Throughout the talk, we adopt a motivating and intriguing case study based on discriminatory tariffs applied by the U.S. Harmonized Tariff Schedules on imported goods.

About the speaker: Franco Turini is currently a full professor in the Department of Computer Science of the University of Pisa, where he also served as Department Chairman. In 78/80 he has been a visiting scientist of the Carnegie-Mellon University (Pittsburgh) and of the IBM Research Center S.Jose, afterwards. In 92/93 he has been visiting professor at the University of Utah.

He has been coordinator of the “Meta- and non-monotonic reasoning area” (BRA Esprit Action No 6810 “Compulog II”) and several other projects including the 2007 Italian PRIN “Anonimo”, focusing on methods for anonymity and privacy protection. He co-edited with Krzysztof Apt a book entitled Meta-logics and Logic Programming, published by The MIT Press, and also editor of Springer and IEEE Proceedings.

His research interests include programming languages design and implementation, formal semantics, and methods for preserving privacy and anomymity.

Contact: Maurizio Atzori, atzori@unica.it – Dipartimento di Matematica ed Informatica, Università di Cagliari

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