PUBLICATION RECORD OF FRANCESCA A. LISI
[email protected]
http://www.di.uniba.it/~lisi/
May 7, 2013
International Journal Articles
[IJ.10]
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.
[IJ.9]
P. Frasconi & F.A. Lisi (2012).
Guest Editors' introduction - Special issue on inductive logic programming (ILP 2010).
Machine Learning, 86: 1-2.
[IJ.8]
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.
[IJ.7]
F.A. Lisi (2010).
Inductive Logic Programming in Databases: from Datalog to DL+log.
Theory and Practice of Logic Programming, 10(3): 331-359.
[IJ.6]
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.
[IJ.5]
F.A. Lisi & D. Malerba (2004).
Inducing Multi-Level Association Rules from Multiple Relations.
Machine Learning, 55: 175-210.
[IJ.4]
A. Appice, M. Ceci, A. Lanza, F.A. Lisi, & D. Malerba (2003).
Discovery of Spatial Association Rules in Georeferenced Census Data: A Relational Mining Approach.
Intelligent Data Analysis, 7(6): 541-566.
[IJ.3]
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.
[IJ.2]
D. Malerba, F. Esposito, F.A. Lisi, & A. Appice (2002).
Mining Spatial Association Rules in Census Data.
Research in Official Statistics, 1: 21-44.
[IJ.1]
F. Esposito, D. Malerba, & F.A. Lisi (2000).
Machine Learning for Intelligent Processing of Printed Documents.
Journal of Intelligent Information Systems, 16: 175-198.
Book Chapters
[BC.8]
F.A. Lisi (2013).
Learning Onto-Relational Rules with Inductive Logic Programming.
To appear in: J. Volker & J. Lehmann (Eds.): Perspectives of Ontology Learning. IOS Press.
[BC.7]
F.A. Lisi (2013).
AL-QuIn: An Onto-Relational Learning System for Semantic Web Mining.
Chapter 3 in: A. Seth (Ed.), Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications,
52-74, IGI Global.
[BC.6]
S. Greco & F.A. Lisi (2010).
Logic Programming Languages for Databases and the Web.
Chapter 9 in: A. Dovier and 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.
[BC.5]
F.A. Lisi & F. Esposito (2009).
On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming.
In: B. Berendt, M. de Gemmis, D. Mladenic, G. Semeraro, M. Spiliopoulou, G. Stumme, V. Svatek, F. Zelezny (Eds.).
Knowledge Discovery Enhanced with Semantic and Social Information, Series: Computational Intelligence, Vol. 220, 317, Springer: Berlin.
[BC.4]
F.A. Lisi (2008).
Using Prior Knowledge in Data Mining.
In: J. Wang (Ed.), Encyclopedia of Data Warehousing and Mining – 2nd Ed., Vol. IV, 2019-2023, IGI Global.
[BC.3]
F.A. Lisi & D. Malerba (2002).
SPADA: A Spatial Association Discovery System.
In: A. Zanasi, C.A. Brebbia, N.F.F. Ebecken, P. Melli (Eds.), Data Mining III, Series: Management Information
Systems, Vol. 6, 157-166, WIT Press.
[BC.2]
D. Malerba, F. Esposito, A. Lanza & F.A. Lisi (2001).
Machine Learning for Information Extraction from Topographic Maps.
Chapter 12 in: H. Miller, J. Han (Eds.), Geographic Data Mining and Knowledge Discovery, 291-314, Francis &
Taylor.
[BC.1]
F. Esposito, D. Malerba, & F.A. Lisi (2000).
Matching Symbolic Objects.
Chapter 8.4 in: H. H. Bock, E. Diday (Eds.), Analysis of Symbolic Data. Exploratory methods for extracting statistical
information from complex data, Series: Studies in Classification, Data Analysis, and Knowledge Organization, Vol. 15,
186-197, Springer: Berlin.
Papers in International Conference Proceedings
[IC.30]
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.
[IC.29]
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 / WILF 2011, Series: Lecture Notes in
Computer Science, Vol. 6857, 58-66, Springer.
[IC.28]
F.A. Lisi & F. Esposito (2010).
Nonmonotonic Onto-Relational Learning.
In: L. De Raedt (Ed.), Inductive Logic Programming, Series: Lecture Notes in Artificial Intelligence, vol. 5989, 88-95,
Springer: Berlin.
[IC.27]
F.A. Lisi & F. Esposito (2008).
Foundations of Onto-Relational Learning.
In: F. Zelezny and N. Lavrac (Eds.), Inductive Logic Programming, Series: Lecture Notes in Artificial Intelligence, Vol.
5194, 158–175, Springer: Berlin.
[IC.26]
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
Artificial Intelligence, Vol. 4455, 305-319, Springer: Berlin.
[IC.25]
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 Artificial Intelligence, Vol.
4203, 306-311, Springer: Berlin.
[IC.24]
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, IOS Press: Amsterdam, 765-766.
[IC.23]
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: Berlin.
[IC.22]
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 Artificial Intelligence, Vol. 4068, 346-359, Springer: Berlin.
[IC.21]
F.A. Lisi (2005).
Principles of Inductive Reasoning on the Semantic Web: A Framework for Learning in AL-log.
In: F. Fages, S. Soliman (Eds.), Principles and Practice of Semantic Web Reasoning, Series: Lecture Notes in Computer
Science, Vol. 3703, 118-132, Springer: Berlin.
[IC.20]
F.A. Lisi & F. Esposito (2005).
ILP Meets Knowledge Engineering: A Case Study.
In: S. Kramer, B. Pfahringer (Eds.), Inductive Logic Programming, Series: Lecture Notes in Artificial Intelligence, Vol.
3625, 209-226, Springer: Berlin.
[IC.19]
F.A. Lisi & F. Esposito (2005).
Mining the Semantic Web: A Logic-based Methodology.
In: M.S. Hacid, N. Murray, Z.W. Ras, S. Tsumoto (Eds.), Foundations of Intelligent Systems, Series: Lecture Notes in
Artificial Intelligence, Vol. 3488, 102-111, Springer: Berlin.
[IC.18]
F.A. Lisi & F. Esposito (2004).
Efficient Evaluation of Candidate Hypotheses in AL-log.
In: R. Camacho, R. King, A. Srinivasan (Eds.), Inductive Logic Programming, Series: Lecture Notes in Artificial
Intelligence, Vol. 3194, 216-233, Springer: Berlin.
[IC.17]
F.A. Lisi & D. Malerba (2003).
Ideal Refinement of Descriptions in AL-log.
In: T. Horvath, A. Yamamoto (Eds.), Inductive Logic Programming, Series: Lecture Notes in Artificial Intelligence,
Vol. 2835, 215-232, Springer: Berlin.
[IC.16]
F.A. Lisi & D. Malerba (2003).
Bridging the Gap between Horn Clausal Logic and Description Logics in Inductive Learning.
In: A. Cappelli, F. Turini (Eds.), AI*IA 2003: Advances in Artificial Intelligence, Series: Lecture Notes in Artificial
Intelligence, Vol. 2829, 53-64, Springer: Berlin.
[IC.15]
A. Lanza, D. Malerba, F.A. Lisi, A. Appice & M. Ceci (2002).
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps.
In: D. Blostein, Y.-B. Kwon (Eds.), Graphics Recognition: Algorithms and Applications, Series: Lecture Notes in
Computer Science, Vol. 2390, 193-203, Springer: Berlin.
[IC.14]
F.A. Lisi, S. Ferilli, & N. Fanizzi (2002).
Object Identity as Search Bias for Pattern Spaces.
In: F. van Harmelen (ed.): ECAI 2002. Proceedings of the 15th European Conference on Artificial Intelligence, IOS
Press: Amsterdam, 375-379.
[IC.13]
B. De Carolis & F.A. Lisi (2002).
A NLG-based Presentation Method for Supporting KDD End-Users.
In: M.-S. Hacid, Z. Ras, D.A. Zighed, Y. Kodratoff (Eds.), Foundations of Intelligent Systems, Series: Lecture Notes in
Artificial Intelligence, Vol. 2366, 535-543, Springer: Berlin.
[IC.12]
D. Malerba & F.A. Lisi (2001).
Discovering Associations between Spatial Objects: An ILP Application.
In: C. Rouveirol, M. Sebag (Eds.), Inductive Logic Programming, Series: Lecture Notes in Artificial Intelligence, Vol.
2157, 156-163, Springer: Berlin.
[IC.11]
D. Malerba, F. Esposito, A. Lanza, & F.A. Lisi (2001).
First-order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps.
In: P. Perner (Ed.), Machine Learning and Data Mining in Pattern Recognition, Series: Lecture Notes in Artificial
Intelligence, Vol. 2123, 88-101, Springer: Berlin.
[IC.10]
D. Malerba, F. Esposito, F.A. Lisi, & O. Altamura (2001).
Automated Discovery of Dependencies Between Logical Components in Document Image Understanding.
In: B. Werner (Ed.), Proc. 6th Int. Conference on Document Analysis and Recognition, 174-178, IEEE Computer
Society, Los Alamitos, California.
[IC.9]
D. Malerba, F. Esposito, & F.A. Lisi (2001).
Mining Spatial Association Rules in Census Data.
Proc. 4th Int. Seminar on New Techniques & Technologies for Statistics (ETK/NTTS), Crete.
[IC.8]
D. Malerba, F. Esposito, & F.A. Lisi (2001).
A Logical Framework for Frequent Pattern Discovery in Spatial Data.
In: I. Russell, J. Kolen (Eds.), Proc. 14th Int. FLAIRS Conference, Special track on Spatiotemporal Reasoning, 557-561,
AAAI Press, Menlo Park, California.
[IC.7]
F. Esposito, D. Malerba, & F.A. Lisi (2001).
Multiple Predicate Learning for Document Image Understanding.
In: I. Russell & J. Kolen (Eds.), Proc. 14th Int. FLAIRS Conference, Special track on Machine Learning, 372-376,
AAAI Press, Menlo Park, California.
[IC.6]
D. Malerba, F. Esposito, A. Lanza, & F.A. Lisi (2000).
Discovering geographic knowledge: The INGENS system.
In: Z.W. Ras, S. Ohsuga (Eds.), Foundations of Intelligent Systems, Series: Lecture Notes in Artificial Intelligence, Vol.
1932, 40-48, Springer: Berlin.
[IC.5]
F. Esposito, D. Malerba, & F.A. Lisi (2000).
Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions.
In: J. Cussens, A. Frisch (Eds.), Inductive Logic Programming, Series: Lecture Notes in Artificial Intelligence, Vol.
1866, 93-111, Springer: Berlin.
[IC.4]
O. Altamura, F. Esposito, F.A. Lisi, & D. Malerba (1999).
Symbolic Learning Techniques in Paper Document Processing.
In: P. Perner, M. Petrou (Eds.), Machine Learning and Data Mining in Pattern Recognition, Series: Lecture Notes in
Artificial Intelligence, Vol. 1715, 159-173, Springer: Berlin.
[IC.3]
F. Esposito, D. Malerba, & F.A. Lisi (1999).
Machine Learning for Intelligent Document Processing: The WISDOM System.
In Z.W. Ras and A. Skowron (Eds.), Foundations of Intelligent Systems, Series: Lecture Notes in Artificial Intelligence,
Vol. 1609, 103-113, Springer: Berlin.
[IC.2]
F. Esposito, D. Malerba, & F.A. Lisi (1998).
Flexible Matching of Boolean Symbolic Objects.
Proc. 3rd Int. Seminar on New Techniques & Technologies for Statistics, Sorrento, Italy, 157-162.
[IC.1]
D. Malerba, F. Esposito, & F.A. Lisi (1998).
Learning recursive theories with ATRE.
In: H. Prade (Ed.), Proc. 13th European Conference on Artificial Intelligence, 435-439, John Wiley & Sons, Chichester,
England.
Papers in International Workshop Proceedings
[IW.21]
F.A. Lisi (2012).
A Formal Characterization of Concept Learning in Description Logics.
In Y. Kazakov, D. Lembo, F. Wolter (Eds.): Proc. of the 2012 International Workshop on Description Logics, DL2012, Rome, Italy, June 7-10, 2012. CEUR Workshop Proceedings 846.
[IW.20]
F.A. Lisi & F. Esposito (2009).
Learning Semantic Web Rules: State of the Art and Directions of Research.
In C. d'Amato, N. Fanizzi, M. Grobelnik, A. Lawrynowicz & V. Svátek (Eds.): Proc. of the First ESWC Workshop on
Inductive Reasoning and Machine Learning on the Semantic Web (IRMLeS-2009) Co-located with the 6th European
Semantic Web Conference (ESWC), Heraklion, Greece, June 1, 2009. CEUR Workshop Proceedings 474.
[IW.19]
F.A. Lisi & F. Esposito (2008).
Combining Logic Programming with Description Logics and Machine Learning for the Semantic Web.
In J. de Bruijn, S. Heymans, D. Pearce, A. Polleres & E. Ruckhaus (Eds.): Proc. of the 3rd Int. Workshop on
Applications of Logic Programming to the (Semantic) Web and Web Services (ALPSWS2008) Co-located with the 24th
Int. Conference on Logic Programming (ICLP), Udine, Italy, December 12, 2008. CEUR Workshop Proceedings 434.
[IW.18]
F.A. Lisi & F. Esposito (2008).
Learning SHIQ+log Rules for Ontology Evolution.
In A. Gangemi, J. Keizer, V. Presutti & H. Stoermer (Eds.): Proc. of the 5th Workshop on Semantic Web Applications
and Perspectives (SWAP2008), Rome, Italy, December 15-17, 2008. CEUR Workshop Proceedings 426.
[IW.17]
F.A. Lisi & F. Esposito (2008).
Learning Semantic Web Rules within the Framework of SHIQ+log.
In C. Bizer & A. Joshi (Eds.): Proc. of the Poster and Demonstration Session at the 7th Int. Semantic Web Conference
(ISWC2008), Karlsruhe, Germany, October 28, 2008. CEUR Workshop Proceedings 401.
[IW.16]
F.A. Lisi & F. Esposito (2007).
On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programming.
In B. Berendt, D. Mladenic, G. Semeraro, M. Spiliopoulu, G. Stumme, V. Svatek & F. Zelezny (eds.): Proc. of the
ECML/PKDD 2007 Workshops on Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery and
Web Mining 2.0, 77-82, Warsaw, Poland.
[IW.15]
F.A. Lisi (2007).
Exploiting Description Logic Reasoners in Inductive Logic Programming Systems: An Experience within the Semantic
Web Area.
In D. Calvanese, E. Franconi, V. Haarslev, D. Lembo, B. Motik, A.-Y. Turhan, S. Tessaris (Eds.), Proc. 20th Int.
Workshop on Description Logics, 379- 386, Bolzano University Press.
[IW.14]
F.A. Lisi (2007).
Reasoning with OWL-DL in Inductive Logic Programming.
In C. Golbreich, A. Kalyanpur, B. Parsia (Eds): Proc. of the OWLED 2007 Workshop on OWL: Experiences and
Directions, Innsbruck, Austria, June 6-7, 2007. CEUR Workshop Proceedings 258.
[IW.13]
F.A. Lisi & F. Esposito (2006).
Refining Ontologies via Pattern-based Clustering.
In P. Shvaiko, J. Euzenat, A. Léger, D.L. McGuinness & H. Wache (eds.): Proc. of the ECAI 2006 Workshop on
Contexts and Ontologies, 68-70, Trento, Italy.
[IW.12]
F.A. Lisi & F. Esposito (2004).
An ILP Approach to Semantic Web Mining.
In P. Buitelaar, J. Franke, M. Grobelnik, G. Paass & V. Svatek (Eds.), Notes of the ECML/PKDD 2004 Workshop on
Knowledge Discovery and Ontologies, 139-144, Pisa, Italy.
[IW.11]
F.A. Lisi (2003).
What can Hybrid Languages do for Data Mining?
In F. Gecseg, J. Csirik, & Gy. Turan (Eds.), Proc. Kalmár Workshop on Logic and Computer Science, 199-212,
Technical Report of the Dept. of Informatics, University of Szeged, Hungary.
[IW.10]
F.A. Lisi (2003).
Data Mining in Hybrid Languages via ILP.
In D. Calvanese, G. De Giacomo & E. Franconi (Eds.), Proc. 2003 Int. Workshop on Description Logics (DL'03),
Rome, Italy, September 5-7, 2003. CEUR Workshop Proceedings 81.
[IW.9]
D. Malerba, F.A. Lisi, A. Appice & F. Sblendorio (2002).
Mining Spatial Association Rules in Census Data: A Relational Approach.
In P. Brito & D. Malerba (Eds.), Notes of the ECML/PKDD 2002 Workshop on Mining Official Data, 80-93, Helsinki,
Finland.
[IW.8]
D. Malerba & F.A. Lisi (2001).
An ILP Method for Spatial Association Rule Mining.
In A. Knobbe & D. van der Wallen (Eds.), Notes of the ECML/PKDD 2001 Workshop on Multi-Relational Data
Mining, 18-29, Freiburg, Germany.
[IW.7]
P. Buono, F.M. Costabile & F.A. Lisi (2001).
Supporting Data Analysis through Visualizations.
In S.J. Simoff, M. Noirhomme-Fraiture & M.H. Böhlen (Eds.), Notes of the ECML/PKDD 2001 Workshop on Visual
Data Mining, 67-78, Freiburg, Germany.
[IW.6]
D. Malerba, F. Esposito, A. Lanza, & F.A. Lisi (2001).
Automated Interpretation of Topographic Maps: Beyond Symbol Recognition.
Pre-proc. 4th IAPR Int. Workshop on Graphics Recognition, 288-297, Kingston, Ontario, Canada.
[IW.5]
D. Malerba, F. Esposito, A. Lanza, & F.A. Lisi (2001).
Geo-Spatial Knowledge Discovery for Map Interpretation.
In A. Belward, E. Binaghi, P.A. Brivio, G.A. Lanzarone & G. Tosi (Eds.), Proc. Int. Workshop on Geo-Spatial
Knowledge Processing for Natural Resource Management, 112-116, Artestampa, Daverio (Varese), Italy.
[IW.4]
F. Esposito, D. Malerba, & F.A. Lisi (2000).
Understanding Multi-Page Documents: A Multiple Concepts Learning Problem.
In F. Esposito and D. Malerba (Eds.), Notes of the ECAI2000-Workshop on Machine Learning in Computer Vision,
Berlin, Germany, 31-38.
[IW.3]
D. Malerba, F. Esposito, A. Lanza, F.A. Lisi & L. Sanarico (2000).
INGENS: A Geographical Information System with Inductive Learning Capabilities.
Proc. Int. Workshop on Emerging Technologies for Geo-based Applications, Ascona, Switzerland, 249-263.
[IW.2]
O. Altamura, F. Esposito, F. A. Lisi, & D. Malerba (1999).
Attributional and Relational Learning Issues in Document Analysis and Recognition.
Proc. of the ICML '99 Workshop on Machine Learning in Computer Vision, Bled, Slovenia, 20-31.
[IW.1]
F. Esposito, D. Malerba, G. Semeraro, & F.A. Lisi (1998).
Machine learning issues in analysis, classification and understanding of document images.
Workshop on Learning in Computer Vision, Freiburg, Germany, June 6, 1998.
Edited Works
[EW.4]
S.H. Muggleton , A. Tamaddoni-Nezhad & F.A. Lisi (Eds.).
Inductive Logic Programming, 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 – August 3,
2011, Revised Selected Papers. Series: Lecture Notes in Computer Science, Vol. 7207, Springer, 2012.
[EW.3]
F.A. Lisi (Ed.).
Proceedings of the 9th Italian Convention on Computational Logic, Rome, Italy, June 6-7, 2012. CEUR Workshop
Proceedings 857, 2012.
[EW.2]
P. Frasconi & F.A. Lisi (Eds.).
Special Issue on Inductive Logic Programming (ILP 2010). Machine Learning 86(1), 2012.
[EW.1]
P. Frasconi & F.A. Lisi (Eds.).
Inductive Logic Programming, 20th International Conference, ILP 2010, Florence, Italy, June 27-30, 2010, Revised
Papers. Series: Lecture Notes in Computer Science, Vol. 6489, Springer, 2011.
National Journal Articles
[NJ.3]
F. Esposito, A. Lanza, F.A. Lisi, D. Malerba, & V. Marengo (2003).
Tecnologie per la scoperta di conoscenza per la pianificazione urbana spaziale.
Urbanistica, 121, 112-120.
[NJ.2]
F.A. Lisi (2003).
An AI Perspective on Frequent Pattern Discovery.
AI*IA Notizie, XVI (3), 12-22.
[NJ.1]
D. Malerba, F. Esposito, & F.A. Lisi (2000).
An ILP Approach to the Discovery of Spatial Association Rules.
AI*IA Notizie, XIII (4), 57-62.
Papers in National Conference Proceedings
[NC.8]
F.A. Lisi & U. Straccia (2011).
An Inductive Logic Programming Approach to Learning Inclusion Axioms in Fuzzy Description Logics.
In: F. Fioravanti (Ed.), CILC 2011 - Proceedings of the 26th Italian Conference on Computational Logic, CEUR
Workshop Proceedings 810.
[NC.7]
F.A. Lisi & D. Malerba (2003).
Towards Object-Relational Data Mining.
In S. Flesca, S. Greco, D. Saccà & E. Zumpano (Eds.), Atti dell'Undicesimo Convegno Nazionale su Sistemi Evoluti per
Basi di Dati, 269-280, Rubbettino Editore, Italy.
[NC.6]
D. Malerba, F.A. Lisi, A. Appice & F. Sblendorio (2003).
Mining Census and Geographic Data in Urban Planning Environments.
In L. Santini & D. Zotta (Eds.), Atti della Terza Conferenza Nazionale su Informatica e Pianificazione Urbana e
Territoriale (INPUT 2003), Alinea Editrice, Firenze, Italy.
[NC.5]
A. Appice, F.A. Lisi, D. Malerba & F. Sblendorio (2003).
Analysing Geo-referenced Census Data: a Case Study.
Presented at the Convegno Scientifico Intermedio della Società Italiana di Statistica, Napoli, Italy, 9-11 June
(http://www.dms.unina.it/sis2003/Lavori/Data%20Mining%20-%20Giudici/appice.pdf)
[NC.4]
F.A. Lisi & D. Malerba (2002).
Efficient Discovery of Multiple-Level Patterns.
In P. Ciaccia, F. Rabitti & G. Soda (Eds.), Atti del Decimo Convegno Nazionale su Sistemi Evoluti per Basi di Dati,
237-250, Centro Stampa 2P, Pontassieve, Italy.
[NC.3]
D. Malerba, F. Esposito, & F.A. Lisi (2001).
Mining Association Rules in Spatial Databases: A Logic-based Computational Method.
In A. Celentano, L. Tanca & P. Tiberio (Eds.), Atti del Nono Convegno Nazionale su Sistemi Evoluti per Basi di Dati,
223-237, LCM Selecta Group, Milano, Italy.
[NC.2]
B. De Carolis & F.A. Lisi (2001).
A multimodal interface for supporting urban and land planning.
In G. Concilio & V. Monno (Eds.), Proc. 2nd National Conference on Information Technology and Spatial Planning
(INPUT 2001), Dedalo Edizioni, Bari, Italy.
[NC.1]
F. Esposito, A. Lanza, F.A. Lisi, D. Malerba, & V. Marengo (2001).
Knowledge Discovery Technologies for Urban Spatial Planning.
In G. Concilio & V. Monno (Eds.), Proc. 2nd National Conference on Information Technology and Spatial Planning
(INPUT 2001), Dedalo Edizioni, Bari, Italy.
Papers in National Workshop Proceedings
[NW.7]
F.A. Lisi & F. Esposito (2007).
Building Rules on top of Ontologies? Inductive Logic Programming can help!
In G. Semeraro, E. Di Sciascio, C. Morbidoni, H. Stoemer (Eds.): SWAP 2007 - Semantic Web Applications and
Perspectives, Proc. of the 4th Italian Semantic Web Workshop. CEUR Workshop Proceedings 314.
[NW.6]
F.A. Lisi (2006).
Enabling Data Mining Systems to Semantic Web Applications.
In G. Tummarello, P. Bouquet, O. Signore (Eds.): SWAP 2006 - Semantic Web Applications and Perspectives, Proc. of
the 3rd Italian Semantic Web Workshop. CEUR Workshop Proceedings 201.
[NW.5]
F.A. Lisi & F. Esposito (2005).
An ILP Perspective on the Semantic Web.
In P. Bouquet, G. Tummarello (Eds.): SWAP 2005 - Semantic Web Applications and Perspectives, Proc. of the 2nd
Italian Semantic Web Workshop. CEUR Workshop Proceedings 166.
[NW.4]
F. Esposito, D. Malerba, & F.A. Lisi (2001).
Learning Multiple Predicates with ATRE: An Application to Document Image Understanding.
In Atti del Convegno Finale del Progetto MURST cofin "Agenti Intelligenti: Interazione ed Acquisizione di
Conoscenza", Milano, Italy, January 22-23.
[NW.3]
D. Malerba, F. Esposito, & F.A. Lisi (2000).
Mining Spatial Association Rules.
In Atti della Giornata di Studio del Gruppo di Lavoro AI*IA su Apprendimento Automatico "Apprendimento
Automatico e Data Mining: Metodologie, Strumenti ed Applicazioni", 45-48, Milano, Italy, September 12.
[NW.2]
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