Short
CV
RESEARCH TEACHING THIRD MISSION Public engagement |
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Prof. Francesca A. Lisi
Campus Universitario "E. Quagliariello" Phone: +39 080 5442296 |
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News & Highlights:
F.A. Lisi & U. Straccia (2015).
Learning
in Description Logics with Fuzzy Concrete Domains.
Fundamenta Informaticae, 140(3-4): 373–391, ISSN:
0169-2968.
F.A. Lisi & U. Straccia (2013).
A
Logic-based Computational Method for the Automated Induction
of Fuzzy Ontology Axioms.
Fundamenta Informaticae, 124(4): 503-519, ISSN:
0169-2968.
P. Frasconi & F.A. Lisi (2012).
Guest
Editors' introduction - Special issue on inductive logic
programming (ILP 2010).
Machine Learning, 86(1): 1-2, ISSN: 0885-6125.
F.A. Lisi (2011).
AL-QuIn:
An Onto-Relational Learning System for Semantic Web Mining.
International Journal on Semantic Web and Information
Systems, 7(3): 1-22, ISSN: 1552-6283.
F.A. Lisi (2010).
Inductive Logic
Programming in Databases: From Datalog to DL+log.
Theory and Practice of Logic Programming, 10(3):
331-359, ISSN: 1471-0684.
F.A. Lisi (2008).
Building Rules on Top
of Ontologies for the Semantic Web with Inductive Logic
Programming.
Theory and Practice of Logic Programming, 8(3):
271-300, ISSN: 1471-0684.
F.A. Lisi & D. Malerba (2004).
Inducing
Multi-Level Association Rules from Multiple Relations.
Machine Learning, 55: 175-210, ISSN: 0885-6125.
A. Appice, M. Ceci, A. Lanza, F.A. Lisi, D. Malerba
(2003).
Discovery of spatial association rules in geo-referenced
census data: A relational mining approach.
Intelligent Data Analysis, 7: 541-566, ISSN: 1088-467X.
D. Malerba, F. Esposito, A. Lanza, F.A. Lisi, A.
Appice (2003).
Empowering a GIS with Inductive Learning Capabilities: The
Case of INGENS.
Computers, Environment and Urban Systems, 27: 265-281,
ISSN: 0198-9715.
F.A. Lisi (2014).
Learning
Onto-Relational Rules with Inductive Logic Programming.
In: J. Volker & J. Lehmann (Eds.): Perspectives on
Ontology Learning. IOS Press/AKA.
S. Greco & F.A. Lisi (2010).
Logic
Programming Languages for Databases and the Web.
In: A. Dovier & E. Pontelli (Eds.): A 25-Year
Perspective on Logic Programming: Achievements of the
Italian Association for Logic Programming, GULP, Series:
Lecture Notes in Computer Science, Vol. 6125, 183-203,
Springer.
F.A. Lisi & F. Esposito (2009).
On
Ontologies
as Prior Conceptual Knowledge in Inductive Logic Programming.
In: B. Berendt, D. Mladenic, M. de Gemmis, G. Semeraro, M.
Spiliopoulou, G. Stumme, V. Svatek, & F. Zelezny (Eds.): Knowledge
Discovery Enhanced with Semantic and Social Information,
Series: Studies in Computational Intelligence, Vol. 220, 3-17,
Springer.
F.A. Lisi & U. Straccia (2014).
A
FOIL-Like Method for Learning under Incompleteness and
Vagueness.
In: G. Zaverucha, V. Santos Costa & A. Paes (Eds.): Inductive
Logic Programming, Series: Lecture Notes in Computer
Science, Vol. 8812, 123-139, Springer.
F.A. Lisi (2013).
A
Declarative Modeling Language for Concept Learning in
Description Logics.
In: F. Riguzzi & F. Zelezny (Eds.): Inductive Logic
Programming, Series: Lecture Notes in Computer Science,
Vol. 7842, 151–165, Springer.
F.A. Lisi & U.
Straccia (2011).
Towards
Learning
Fuzzy
DL Inclusion Axioms.
In: A.M. Fanelli, W. Pedrycz, A. Petrosino (Eds.): Fuzzy Logic and Applications,
Series: Lecture Notes in Computer Science, Vol. 6857, 58–66,
Springer.
F.A. Lisi & F. Esposito (2008).
Foundations
of Onto-Relational Learning.
In: F. Zelezny & N. Lavrac (Eds.): Inductive Logic
Programming, Series: Lecture Notes in Computer Science,
Vol. 5194, 158–175, Springer.
F.A. Lisi & F. Esposito (2007).
On
the
Missing Link between Frequent Pattern Discovery and Concept
Formation.
In: S. Muggleton, R. Otero & A. Tamaddoni-Nezhad (Eds.), Inductive Logic Programming, Series: Lecture
Notes in Computer Science, Vol. 4455, 305-319, Springer.
F.A. Lisi & F. Esposito (2006).
Two Orthogonal Biases for Choosing the Intensions of Emerging
Concepts in Ontology Refinement.
In: G. Brewka, S. Coradeschi, A. Perini & P. Traverso
(Eds.): ECAI 2006, Proceedings
of the 17th
European Conference on Artificial Intelligence,
765-766, IOS Press: Amsterdam.
F.A. Lisi (2006).
A
Methodology for Building Semantic Web Mining Systems.
In: F. Esposito & Z. Ras (Eds.), Foundations of
Intelligent Systems, Series: Lecture Notes in Computer
Science, Vol. 4203, 306-311, Springer.
F.A. Lisi (2006).
A
Pattern-based Approach to Conceptual Clustering in FOL.
In: H. Schaerfe, P. Hitzler and P. Ohrstrom (Eds.), Conceptual
Structures:
Inspiration and Application, Series: Lecture Notes in
Computer Science, Vol. 4068, 346-359, Springer.
F.A. Lisi (2006).
Practice
of Inductive Reasoning on the Semantic Web: A System for
Semantic Web Mining.
In: J.J. Alferes, J. Bailey, W. May, and
U. Schwertel (Eds.), Principles and Practice of
Semantic Web Reasoning, Series: Lecture Notes in
Computer Science, Vol. 4187, 242-256, Springer.