paolo nesi
Paolo Nesi is full professor at the University of Florence, at DINFO, Department of Information Engineering (Computer Science Department). Chair of DISIT LAB (Distributed Data Intelligence and Technology). Member of the scientific committee of CSAVRI, Chair of APRE Toscana. Editor of International Journal: SEKE (software engineering and knowledge engineering), RTIP (real time image processing), Sentient Multimedia Network, etc. Chair of conferences such as IEEE ICECCS, IEEE ICSM, DMS SKI, AXMEDIS, WEDELMUSIC, etc. Active on MPEG ISO. Coordinator of several EC ICT projects, and smart city projects.
Research areas are: data mining, semantic computing, natural language processing, artificial intelligence, big data, data analytics, knowledge mining and representation, inference, semantic models, formal models, linked open data, content protection and licensing.
Competences and activities related to ICT Calls in the 2014:
• Open Data and Linked Open Data center
• Integration of more than 400 different Open Data sets coming from Tuscany area (geographical information, ambient and weather, transportation and mobility, public administration and services, statistics, point of interest, sensors, events, time lines, etc.) see Sii-Mobility project
• LOD for Performing Arts in connection to Europeana on ECLAP project and service , see ECLAP social graph:
• Cloud and data center with several servers and more than 300Tbyte storage.
• Technology Transfer to SMEs via APREToscana and CSAVRI center for TT and incubator.
• Management of Call for proposals in EC projects
• Project Management, Dissemination Management, Exploitation Plan
Specific Research competences:
• Data and knowledge mining (reconciling and solving inconsistencies/incompleteness on Dates/Time, person names, textual data understating, cross media heterogeneity, geographical and spatial information and knowledge), ontology construction.
• Linked Open Data developing tools and access (DISIT Open Graph on dbpedia and on Open Graph on Sii-Mobility knowledge base)
• Natural Language Processing for competence mining and understanding, ontology production tools: OSIM and SACVAR project .
• Data Analytics for: prediction, correlation, causality, indexing, search, etc.
• Applications: transportation, smart cloud, digital library and cultural heritage, SME and citizen services, knowledge mining and understanding.
• Algorithms and solutions for: recognition, disambiguation, user behaviour analysis, recommendation, path generation, indoor/outdoor navigation, knowledge matchmaking, decision support, sentient and autonomous agents and tools, ontology production, etc.
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- January 8, 2014
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