|
![[FRANCESCONI]](https://nexa.polito.it/nexacenterfiles/fotoenrico1.jpg)
|
Enrico FRANCESCONI is a
researcher at IGSG-CNR, the Institute for
Legal Informatics and Judicial Studies of the
National Research Council of Italy and,
currently, he is a Temporary Agent of the
European Commission - DG Publications Office.
His main research interests include Semantic
Web technologies for the legal domain, legal
ontologies and knowledge representation, AI
techniques for legal document classification
and knowledge extraction, e-Government,
e-Participation, semantic models for the
document collections of the EU. He is
President-elect for the period 2020-2021
(Vice-President (2018-2019)) and Member of the
Executive Committee of the International
Association for Artificial Intelligence and
Law, Section Editor on Ontology and Knowledge
Representation of the Artificial Intelligence
and Law journal (Springer), co-Editor in Chief
of the Journal on Open Access to Law (Cornell
University, Law School), Scientific Advisory
Board Member of Law, Governance and Technology
Series (Springer). He served as Conference
Chair of the Fourteenth International
Conference on Artificial Intelligence and Law
(ICAIL 2013, Rome). He is contract professor
of Information Retrieval and Semantic Web
Technologies at the Computer Science Faculty
of the University of Florence.
|
Letture consigliate e link utili:
- E.
Francesconi, Semantic Model for Legal
Resources: Annotation and Reasoning over
Normative Provisions, in Semantic Web
journal: Special Issue on Semantic Web for
the legal domain, Volume 7, Number 3, IOS
Press, 2016, ISSN (print) 1570-0844, ISSN
(online) 2210-4968.
- E.
Francesconi, Decidable Reasoning on
Provisions and Norms for Legal Information
Retrieval and Legal Compliance, in
Jusletter IT, 26 September 2019.
- E. Francesconi
and A. Passerini, Automatic
Classification of Provisions in
Legislative Texts, in Artificial
Intelligence and Law, vol. 15, pp. 1-17,
Springer, 2007, DOI
10.1007/s10506-007-9038-0.
- E.
Francesconi, An Approach to Legal Rules
Modelling and Automatic Learning, in
Proceedings of the JURIX Conference, pp.
59-68, IOS Press, 2009, ISBN print
978-1-60750-082-7, ISBN online
978-1-60750-518-1.
|