Objective A flood of data pertinent to moving objects is available today, and will be more in the near future, particularly due to the automated collection of data from personal devices such as mobile phones and other location-aware devices. Such wealth of data, referenced both in space and time, may enable novel classes of applications of high societal and economic impact, provided that the discovery of consumable and concise knowledge out of these raw data is made possible.The fundamental hypothesis is that it is possible, in principle, to aid citizens in their mobile activities by analysing the traces of their past activities by means of data mining techniques. For instance, behavioural patterns derived from mobile trajectories may allow inducing traffic flow information, capable to help people travelling efficiently, to help public administrations in traffic-related decision making for sustainable mobility and security management.Behavioral patterns can be extracted through a knowledge discovery process where positioning data collected from mobile devices are first transformed in semantically enriched trajectory data stored in a database. Then, these data are loaded in a data warehouse and analysed with OLAP operations that allow summarization of the trajectories features. Mobility patterns, the most common movements emerging from data, are computed with suitable spatio-temporal data mining algorithms. A further semantic enrichment step is needed to give context-dependent meaning to the discovered patterns.The goal of the project is to investigate methods to extract meaningful knowledge from large amount of movement data by defining techniques for an advanced semantic-rich knowledge discovery process. Fields of science natural sciencescomputer and information sciencesdatabasesnatural sciencescomputer and information sciencesdata sciencedata miningengineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsmobile phonessocial sciencespolitical sciencespublic administration Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2011-IRSES - Marie Curie Action "International Research Staff Exchange Scheme" Call for proposal FP7-PEOPLE-2011-IRSES See other projects for this call Funding Scheme MC-IRSES - International research staff exchange scheme (IRSES) Coordinator CONSIGLIO NAZIONALE DELLE RICERCHE Address Piazzale aldo moro 7 00185 Roma Italy See on map Region Centro (IT) Lazio Roma Activity type Research Organisations Links Contact the organisation Opens in new window Website Opens in new window EU contribution No data Participants (2) Sort alphabetically Sort by EU Contribution Expand all Collapse all UNIVERSITA CA' FOSCARI VENEZIA Italy EU contribution € 88 200,00 Address Dorsoduro 3246 30123 Venezia See on map Region Nord-Est Veneto Venezia Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Other funding No data UNIVERSITY OF PIRAEUS RESEARCH CENTER Greece EU contribution € 65 100,00 Address Al. papanastasiou 91 185 33 Piraeus See on map Region Αττική Aττική Πειραιάς Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Other funding No data
