Information Systems
at Politecnico di Milano
Outline
•
Research in Information Systems
Outline
•
Research in Information Systems
Research Themes
Adaptive Information Systems
5 • Design of adaptive (self-healing and dependable) service-based applications • Evaluation of the impact of design choices • Triggering of the most suitable adaption/repair actionUsing Adaptive Information Systems means the possibility for the IS to
dynamically change its behaviour in order to reach a state in which the user requirements are satisfied
National project: MAIS
Spatial Information Systems
6
Development of a the GeoUML Methodology and Tools to support the management of a geographical Conceptual Schema and to perform the automatic validation of the conformance of a Data Product to a given Conceptual Schema
• Separation between the Conceptual Level and the Physical Level of data
• Support many different Implementation Models that define the mapping rules for the
representation of the same Conceptual Schema on different Physical Schemas
• Support the definition of many Integrity Constraints (including Spatial ones) and their automatic validation
Spatial Information Systems
7
Development of the INSPIRE data model tools to support web feature services on national topographical databases for the UE INSPIRE directive, for harmonization and integration of cross national border data and to provide access to institutions and citizens.
Green IT
8
• Improve the energy efficiency and decrease CO2 emissions in federated cloud infrastructures
•
Key concepts:
•
Energy
efficiency
•
CO
2footprint
•
Green
related
indicators
•
Monitoring
•
Adaptation
actions
Energy efficient buildings
9
Improve the energy efficiency and the design of sensors networks in buildings
•
Key concepts:
•
Energy
efficiency
•
Monitoring
•
Data
aggregation,
retrieval and
management
•
Sensors as a
Service
cloud PERLA Sensors data DB Sensor as a Service layerWired Sensor Network Wireless Sensor Network House NODE Governance dashboard House Condo service ontology Local manager Local managers sensor ontology Query engine
House NDOE Apt,1 Condo NODE Floor 2, condo NODE
location ontology
device ontology workers / households
Social Networks Analysis: Influence
10
In the traditional media audience matters, authority matters and content goes one way (broadcasting paradigm). Is it the same in social media? Is content a driver of influence? What are the characteristics of content that help increase influence?
Content is modeled in terms of:
• Sentiment (positive, negative, neutral)
• Use of multimedia as part of content (pictures or videos)
Some results:
• negative tweets seem to be more retweeted and attract more
attention than positive ones
• Posts with multimedia content have been found to be positively
correlated with volumes and speed of retweeting
• Content specificity have a positive effect on influence, in terms of frequency, amplitude and
Emergency management
11
• Collaborative
contingency plan: different people with different skills are involved
• Modeling the
knowledge and the processes (high
degree of variability)
The definition of the contingency plan during the preparedness phase holds a crucial role in emergency management.
4 SocialEMIS
domino. Non sono rari i casi in cui in passat o si sono verificat e situazioni del genere. É importante per questo motivo implementare un algorit mo di questo tipo che riesca a rit rovare all’interno del database dei part icolari scenari che riport ino a sit uazioni in cui, sullo st esso caso di st udio, siano st at e definit e emergenze mult iple. Dal punto di vista dell’algoritmo la ricerca viene effett uata t enendo dei parametri mut lipli che identificano le diverse emergenze ambient ali definite dall’utente.
Tut t i gli algorit mi di ricerca danno come risult at ofinale un set di scenari simili che l’applicazione SocialEMIS riporta att raverso l’interfaccia grafica all’espert o di dominio, il quale pot rà ricaricarli per pot erli visualizzare e studiare. La Figura 4.10 rappresenta un esempio di int erazione con il sist ema, che riport a i risult at i di una ricerca di scenari simili. In rosso sono st at i evidenziat i gli scenari risult ant i dall’esecuzione dell’algoritmo di ricerca.
Figura 4.10: Screenshot dei risult at i di una ricerca di scenari simili
54
European projects: KNOW4DRR National project: TORCIA
Info points media Internet mobile In fo rm atio n / Co m m u n ica ti o n s acq u isi tio n Sensors (physical and virtual) Web 2.0 information Traffic information Warnings and alerts Pla nn in g an d op timiz ation Civil Protection
Control Room Dispatching PSAPs
Emergency plans and critical infrastructures
Territory monitoring
Dashboards
Main goal of the project: to leverage information from social media to improve crisis management in all the phases of the crisis lifecycle
Security in Risky Environments
• Access controls modeled using Attribute-Based Access Control (ABAC)
model.
• Adaptivity: used to cope
with unpredictability of risks occurrences. Access control rules are
dynamically modified during risks .
• Research problem: how to
keep dynamic access rules compliant with security policies definition of
Access Control Domains.
• Approach has been applied to Smart Environments.
Overview: Subjects-Objects-Attributes in Contexts
Rules Adaptation Architecture
Outline
•
Research in Information Systems
Sistemi informativi
•
Learning goals
: how to design enterprise
information systems
•
Pre-requisites
: databases
•
Core topics
: information management, business
process modeling, enterprise architectures
•
Collocation in the study plan
: 3
rd
year, 2
nd
semester, compulsory
•
Synergies with other areas
: business intelligence,
software engineering methodologies, enterprise
digital infrastructure, security
Sistemi informativi per l’impresa
•
Learning goals
: outline typical information
systems in enterprises, how the adoption of
information systems affects an enterprise
•
Pre-requisites
: information systems
•
Core topics
: enterprise organization theory,
operating and management information systems,
•
Collocation in the study plan
: 4
th
year, 2
nd
semester, compulsory
Process and Service Design
•
Learning goals
: outline concepts and
technologies to design complex service-based
applications (SBAs)
•
Pre-requisites
: service technologies 1,
information systems
•
Core topics
: process models and design,
composite service design, quality of service
•
Collocation in the study plan
: 5
th
year, 2
nd
semester, optional
•
Synergies with other areas
: software
Other courses
•
Courses provided to other Schools
–
Informatica per l’ambiente e il territorio
–
Corporate Information Systems
IS Team members
19
Professors and researchers Research collaborators and PhDs
Giampio Bracchi Giuseppe Pelagatti Barbara Pernici
Chiara Francalanci MariaGrazia Fugini Mauro Negri
Cinzia Cappiello Pierluigi Plebani
Alessandro Poli Monica Vitali
Ajaz Hussain
Paolo Ravanelli
Thi Thao Nguyen Ho
Dionysis Athanasopoulos
Projects
• S-Cube- The Software Services and Systems
Network (EU FP7 network 2008-2012) - http://www.s-cube-network.eu/
• GAMES - Green Active Management of Energy in
IT Service centres (EU FP7 STREP 2010 -2012) - http://www.green-datacenters.eu/
• ECO2Clouds Experimental awareness of CO2 in
Federated Cloud sourcing (EU FP7 STREP, 2012-2014) - http://www.eco2clouds.polimi.it/
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•SENSORI (Progetto MIUR Industria 2015)
•TORCIA Piattaforma di Gestione collaborativa delle
Emergenze (Progetto Regione Lombardia) - http://www.sos-torcia.it/it/
•Attiv@bili Assistenza digitale e innovazione Sociale in
Ambienti Controllati – Attiv@bili Bando Smart Cities – Lombardia, April 2014 – Sept.2015
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Contacts
Web
: isgroup.dei.polimi.it
Teams
:
•
Giuseppe Pelagatti – Spatial Information Systems
•
Barbara Pernici – Adaptive Information Systems, Green IT
•
Chiara Francalanci – Social Network Analysis
•
MariaGrazia Fugini – Risk Management, Security
•
Cinzia Cappiello – Information Quality
