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Research
Interests: Man-machine interaction, machine learning and knowledge
acquisition. Applications include technical document processing
(topographic charts, cadastral maps) and map interpretation.
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Antonietta Lanza
Assistant Professor
Dipartimento
di Informatica
Universita' di Bari
Via Orabona 4
70126 Bari
- Italy
phone: +39 80 5443265
fax: +39 80 5443196
email: lanza@di.uniba.it |
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Curriculum Vitae of Antonietta Lanza
Assistant Professor
Degree in Information Science from the University of Bari, Italy, 1978.
First appointment with the University of Bari: July 1984.
From 1978 to 1981 she was fellowship
affiliated with the C.S.A.T.A. (Centro Studi di Automazione e Tecnologie
Avanzate) in Bari and the Institute of Physics of the University of Bari.
From 1984 up to now she is
assistant professor of computer science at the Department of Informatics,
University of Bari, Italy, where she teaches courses for the computers science
curriculum.
Initially her
research interests were in student modeling and computer-based-instruction with
applications of many technologies (CAI, CBT, Hypertext, AI, ITS). At present,
her main research activity is in man-machine interaction, machine learning and
knowledge acquisition; applications include pre-processing, feature-extraction
and interpretation of topographic charts and cadastral maps. She has published
several papers on national and international journals and conferences on the
above topics.
She is member of the following associations:
AI*IA (Italian Association for Artificial Intelligence);
IAPR-IC (International Association of Pattern Recognition - Italian Chapter).
Some relevant publications of the last two years (see Publications of
LACAM for the exhaustive list):
- A.
Lanza(1999).
Interpretation of cadastral maps, Atti Congresso AICA
1999, Padova 27-29 Settembre 1999, 453-463.
- D. Malerba, F. Esposito, A.
Lanza, F.A. Lisi, and L. Sanarico (2000).
INGENS: A Geographical
Information System with Inductive Learning Capabilities,
Proceedings
of the International Workshop on Emerging Technologies for Geo-Based
Application, Ascona, Switzerland, 22-25 May 2000, 249-263.
- F. Esposito, A. Lanza, D.
Malerba (2000).
Machine Learning for Topographic Map
Interpretation,
Proceedings of the AI*IA Workshop on "Machine Learning
and Data Mining: Methodologies, Tools and Applications", Milano, 12
Settembre 2000, 67-70.
- D. Malerba, F. Esposito, A.
Lanza, F.A. Lisi, and L. Sanarico (2000).
INGENS: A Geographical
Information System with Inductive Learning Capabilities,
Proceedings
of the International Workshop on Emerging Technologies for Geo-Based
Application, Ascona, Switzerland, 22-25 May 2000, 249-263.
- D. Malerba, F. Esposito, A.
Lanza, and F.A. Lisi.
Machine Learning for Information Extraction
from Topographic Maps,
in P. Fisher and J. Raper (Eds.), Geographic
Data Mining and Knowledge Discovery Research Monographs in GIS,
Taylor&Francis. (to appear)
- D. Malerba, F. Esposito, A.
Lanza, F. A. Lisi, L. Sanarico.
Empowering GIS with inductive
learning capabilities: the case of INGENS,
Computers, Environment and
Urban Systems, Special Issue, Elsevier. (to appear)
- F. Esposito, A. Lanza, F. A.
Lisi, D. Malerba
Tecnologie per la Pianificazione Spaziale in Ambiente
Urbano: un caso di studio,
Seconda Conferenza Nazionale su Informatica e
Pianificazione Urbana e Territoriale, INPUT 2001, Tremiti, 14-16 Giugno 2001
(to appear)
- D. Malerba, F. Esposito, A.
Lanza, F. A. Lisi
Geo-Spatial Knowledge Discovery for Map
Interpretation,
International Workshop on Geo-Spatial Knowledge
Processing for Natural Resource Management, Varese(Italy), June 28-29, 2001
(to appear)
- D. Malerba, F. Esposito, A.
Lanza, F. A. Lisi
Automated Interpretation of Topographic Maps:
Beyond Symbol Recognition,
GREC 2001, Fourth IAPR International Workshop
on Graphic Recognition, Kingston, Ontario, Canada, September 7-8, 2001. (to
appear)
- A. Lanza
A Segmentation
Algorithm for Line Drawings,
GREC 2001, Fourth IAPR International
Workshop on Graphic Recognition, Kingston, Ontario, Canada, September 7-8,
2001. (to appear)
Courses
Software
PS_package
PS_package is a Windows interface to a C++ implementation of PSS, an algorithm
for the segmentation of line drawings.
PSS requires line drawing images in Run Length Encoded format, as described
later.
PSS breaks down drawings into particular structures named Primitive Structures
(PS).
PS_package contains:
- PSS.exe, the executable code of the PSS implementation;
- *.txt, the library of the sample drawings provided with the package;
- readme, the PostScript file of PS_package User's Guide.
Requirements: Windows 95 on PC.
Installing PS package
To install the distribution package is necessary to download
PS_package (zipped file 81,6 KB). The whole content must be stored into
a directory named PS_package
Warning: PS-package is free for evaluation, research and educational
purposes, but not for commercial purposes. Please acknowledge
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