PRONTO

Event Recognition for Intelligent Resource Management

Coordinatore	FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V    more  Organization address address: Schloss Birlinghoven city: Sankt Augustin postcode: 53754 contact info Titolo: Dr. Nome: Rolf Cognome: Bardeli Email: send email Telefono: +49 2241 143107 Fax: +49 2241 1443107
Nazionalità Coordinatore	Germany [DE]
Totale costo	3˙945˙413 €
EC contributo	2˙965˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2007-3
Funding Scheme	CP
Anno di inizio	2009
Periodo (anno-mese-giorno)	2009-03-01   -   2012-02-29

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	FRAUNHOFER-GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V  Organization address address: Schloss Birlinghoven city: Sankt Augustin postcode: 53754 contact info Titolo: Dr. Nome: Rolf Cognome: Bardeli Email: send email Telefono: +49 2241 143107 Fax: +49 2241 1443107	DE (Sankt Augustin)	coordinator	0.00
2	MATTERSOFT OY  Organization address address: PINNINKATU city: TAMPERE postcode: 33100 contact info Titolo: Mr. Nome: Mika Cognome: Varjola Email: send email Telefono: 358103000000 Fax: 358103000000	FI (TAMPERE)	participant	0.00
3	NATIONAL CENTER FOR SCIENTIFIC RESEARCH "DEMOKRITOS"  Organization address address: Patriarchou Gregoriou Str. city: AGHIA PARASKEVI postcode: 15310 contact info Titolo: Ms. Nome: Styliani Cognome: Martaki Email: send email Telefono: +30 210 650 3036 Fax: +30 210 65 22623	EL (AGHIA PARASKEVI)	participant	0.00
4	NOLDUS INFORMATION TECHNOLOGY BV  Organization address address: NIEUWE KANAAL city: WAGENINGEN postcode: 6709 PA contact info Titolo: Mr. Nome: Melvin Cognome: Bruijn, de Email: send email Telefono: 31317473300 Fax: 31317424496	NL (WAGENINGEN)	participant	0.00
5	STADT DORTMUND  Organization address address: Hoher Wall city: DORTMUND postcode: 44137 contact info Titolo: Mr. Nome: Dirk Cognome: Aschenbrenner Email: send email Telefono: 492318000000	DE (DORTMUND)	participant	0.00
6	UNIVERSITAET PADERBORN  Organization address address: WARBURGER STRASSE city: PADERBORN postcode: 33098 contact info Titolo: Ms. Nome: Daniela Cognome: Gerdes Email: send email Telefono: +49 5251 602562 Fax: +49 5251 603538	DE (PADERBORN)	participant	0.00

Mappa

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 Obiettivo del progetto (Objective)

PRONTO emphasizes the role of event recognition in intelligent resource management (IRM) and proposes a methodology for fusing data from various sources, analysing it to extract useful information in the form of events and delivering the resulting knowledge for decision making, through a user-friendly IRM application. In order to achieve this objective, PRONTO draws methods and expertise from the fields of data fusion, information extraction, temporal representation and reasoning, machine learning, and knowledge management systems. PRONTO derives its motivation from the fact that today's organizations collect data in various structured and unstructured formats, but are not able to fully utilize these data to support and improve their resource management process. Therefore, it is evident that the analysis and interpretation of the collected data needs to be automated and transformed into operational knowledge. Events are particularly important pieces of knowledge for resource management. PRONTO proposes the aforementioned synergy of techniques to facilitate the recognition of events from the collected raw data, that remain underutilized with current technologies. The PRONTO methodology to IRM comprises five main steps: (a) Aggregation of data from various sensors and communication between actors, e.g. fire-brigade officers. (b) Analysis of the data and extraction of 'low-level' events. (c) Recognition of 'high-level' events, using Dynamic fine-tuning of event models, using machine learning. The novelty of PRONTO lies in the difficult task of real-time, accurate recognition of complex events given multiple sources of information, including various types of sensor and modes of actor interaction. The usability and acceptance of the derived methods and tools in real-world environments will signal the success of the project. Progress will be measured by real end-users, participating actively, as consortium partners, in all stages of the development of the project.