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Data Fusion for Smarter Cities
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Academic year 2012/2013
- Course ID
- SEM-DFSMARTCITIES
- Year
- 1° anno 2° anno 3° anno
- Teaching period
- Seminario
- Type
- Seminario
- Credits/Recognition
- 0
- Course disciplinary sector (SSD)
- INF/01 - informatica
- Delivery
- Tradizionale
- Language
- Italiano
- Attendance
- Facoltativa
- Type of examination
- Non prevista
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Sommario del corso
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Course objectives
In this seminar I will present the work that I am doing at IBM Research Ireland lab 1 ,
and give an overview of the major research topics in the lab.
In the first part of the seminar, I will present queriocity, a platform for
querying integrated representations of heterogeneous city data. Queriocity supports
cataloging, exploring, integrating, processing, and transforming urban information.
Such information comes from the Web, government authorities, social networks, data
streams and Linked Data sources. The ultimate goal of queriocity is to simplify access
to the huge data spaces originating from urban environments, and to make it easier to
find and extract (aggregated) datasets to feed complex analytics and machine learning
tasks. We are experimenting queriocity with public and restricted data provided by
Dublin (Ireland).
In the second part of the seminar, I will present our automated traffic diagnoser.
Based on data extracted from queriocity, our system produces quasi real-time
automated explanations of traffic congestions. We combine reasoning over semantic
representations of historical data (such as traffic congestions data) with an AI diagno-
sis approach. We are testing an initial implementation of the system with real data,
and we are planning a trial with Dublin city.
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Support activities
The seminar will be held by
Marco Luca Sbodio
IBM Ireland Research Lab
SHORT BIO:
I am a Research Software Engineer 3 working at IBM Ireland Research Lab. I am
part of the City Fabric team in the Smarter Cities Technology Centre.
I work on automatic techniques for integrating massive semi-structured data and
for recovering their semantics. I am interested in data fusion and management, and
in making sense of the large amount of data available on the Web. A major goal
in my work is to unlock unstructured and semi-structured data to enable querying,
extraction, and complex analytics tasks.
My interests include Software Engineering, Artificial Intelligence (automated plan-
ning), Intelligent Agents, Linked Data, Semantic Web and Privacy.
Prior to joining IBM Research I worked for Hewlett-Packard for 11 years. I have
a PhD in Computer Science from Politecnico di Torino (Italy) and Universite de
Technologie de Compiegne (France).
2 http://www.dublinked.ie/datastore/datastore.php
3 http://researcher.ibm.com/person/ie-marco.sbodio
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Program
The seminar will be held at:
Dipartimento di Automatica e Informatica
Sala riunioni 3 (4 piano)
13 Novembre 2012, ore 11.45
Politecnico di Torino
Corso Duca degli Abruzzi, 24
Map:
http://www.polito.it/php/mappa/?sigla=STRUT,D1010&lang=it
Suggested readings and bibliography
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Class schedule
Days Time Classroom Martedì 11:45 - 13:00 Lessons: dal 13/11/2012 to 13/11/2012
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