DISIT lab and research group is active since 1994. It is one of the most active ICT labs of the University of Florence, metropolitan Tuscany area. DISIT successfully developed a relevant number of International and National research, development and innovation projects. DISIT has coordinated a number of large EC projects, in others has covered the role of partner coordinating research, development and innovation workpackages. DISIT has received a relevant number of awards and is directly involved into top level international conferences. DISIT provides an infrastructure for cloud and distributed computing. DISIT lab develops original solutions in RIA project as well as solutions grounded on available DISIT tools for specified TRL for IA, innovation action projects: DISIT research areas: big data, semantic models and computing, knowledge mining and representation, artificial intelligence, natural language processing, distributed systems, high performance, content and data licensing and protection, ontology modelling, formal models, metrics definition and assessment, data mining and understanding, digital rights management and conditional access. DISIT Techniques: data analytic, clustering, indexing and search, link discovering, regression, holistic regression, machine learning, prediction, inference, deduction, recognition, disambiguation. DISIT solutions for: user behaviour analysis, recommendation, multilingual and cross media indexing, user and collective profiling, indoor/outdoor navigation, media synchronisation, matchmaking, audio transcoding, decision support, sentient and autonomous agents and tools, open data, linked open data. See DISIT: ontologies and models http://log.disit.org, Publications: http://www.disit.org/5487 Tools: http://www.disit.org/5489 DISIT commitment for the next 2015 European Commission Calls and ICT proposers' day 2014 are reported below. Please visit DISIT web site for additional info, reports and publications. Big Data, Smart Cities and Distributed Systems (for example ICT16, ICT8, PHC25-30, GV8): massive and parallel computing for big data: models and tools noSQL distributed RDF stores for big data deduction, multiple custom indexes for RDF stores data analytics, causality vs correlation, data mining, data fusion and reconciliation big data structure and tools for smart city learning algorithms and methods for data analytics, pattern recognition, prediction, condition detection reasoners for: temporal, spatial, natural language, space, etc. Smart City models and applications (for example SCC1, SCC3, SCC5, MG3, MG6, ..): Smart City models, tools, engine and reasoners: http://www.disit.org/5606 noSQL distributed RDF stores for big data deduction, multiple custom indexes for RDF stores OD and LOD: crawling, rendering, link discovering, algorithms, reasoners, http://www.disit.org/5979 data mining, data fusion and reconciliation, data harvesting scheduling data protection and property management and licensing deducting and learning methods for data analytics sensors networks, internet of things indoor/outdoor navigation systems: Mobile Emergency http://www.disit.org/5501 Florence data set: see http://LOG.disit.org and http://Servicemap.disit.org ServiceMap.disit.org http://www.disit.dinfo.unifi.it Smart City model & tools
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DISIT lab and research group, 2014 overview for the next calls
DISIT lab and research group is active since 1994. It is one of the most active ICT labs of the University of Florence, metropolitan Tuscany area. DISIT successfully developed a relevant number of International and National research, development and innovation projects. DISIT provides an infrastructure for cloud and distributed computing. DISIT has coordinated a number of large EC projects, in others has covered the role of partner coordinating scientific and technical WP and performing activities of dissemination and assessment. DISIT has received a relevant number of awards and is directly involved into top level international conferences.
DISIT lab may develop original solutions in RIA project as well as solutions grounded on available DISIT tools for specified TRL for IA, innovation action projects: DISIT research areas: big data, semantic models and computing, knowledge mining and representation, artificial intelligence, natural language processing, distributed systems, high performance, content and data licensing and protection, ontology modelling, formal models, metrics definition and assessment, data mining and understanding, digital rights management and conditional access. DISIT Techniques: data analytic, clustering, indexing and search, link discovering, regression, holistic regression, machine learning, prediction, inference, deduction, recognition, disambiguation. DISIT solutions for: user behaviour analysis, recommendation, multilingual and cross media indexing, user and collective profiling, indoor/outdoor navigation, media synchronisation, matchmaking, audio transcoding, decision support, sentient and autonomous agents and tools, open data, linked open data.
See DISIT: ontologies and models http://log.disit.org, Publications: http://www.disit.org/5487 Tools: http://www.disit.org/5489
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DISIT lab and research group is active since 1994. It is one of the most active ICT labs
of the University of Florence, metropolitan Tuscany area. DISIT successfully developed a relevant number of International and National research, development and innovation
projects. DISIT has coordinated a number of large EC projects, in others has covered the role of partner coordinating research, development and innovation workpackages. DISIT
has received a relevant number of awards and is directly involved into top level international conferences. DISIT provides an infrastructure for cloud and distributed
computing.
DISIT lab develops original solutions in RIA project as well as solutions grounded on available DISIT tools for specified TRL for IA, innovation action projects:
DISIT research areas: big data, semantic models and computing, knowledge mining and representation, artificial intelligence, natural language processing, distributed systems, high performance, content and data
licensing and protection, ontology modelling, formal models, metrics definition and assessment, data mining
and understanding, digital rights management and conditional access. DISIT Techniques: data analytic, clustering, indexing and search, link discovering, regression, holistic
regression, machine learning, prediction, inference, deduction, recognition, disambiguation. DISIT solutions for: user behaviour analysis, recommendation, multilingual and cross media indexing, user
and collective profiling, indoor/outdoor navigation, media synchronisation, matchmaking, audio transcoding, decision support, sentient and autonomous agents and tools, open data, linked open data.
See DISIT: ontologies and models http://log.disit.org, Publications: http://www.disit.org/5487 Tools: http://www.disit.org/5489
DISIT commitment for the next 2015 European Commission Calls and ICT proposers' day 2014 are
reported below. Please visit DISIT web site for additional info, reports and publications.
Big Data, Smart Cities and Distributed Systems (for example ICT16, ICT8, PHC25-30, GV8): massive and parallel computing for big data: models and tools
noSQL distributed RDF stores for big data deduction, multiple
custom indexes for RDF stores
data analytics, causality vs correlation, data mining, data
fusion and reconciliation big data structure and tools for smart city
learning algorithms and methods for data analytics, pattern
recognition, prediction, condition detection
reasoners for: temporal, spatial, natural language, space, etc.
Smart City models and applications (for example SCC1, SCC3, SCC5, MG3, MG6, ..):
Smart City models, tools, engine and reasoners:
http://www.disit.org/5606
noSQL distributed RDF stores for big data deduction, multiple
custom indexes for RDF stores OD and LOD: crawling, rendering, link discovering,
algorithms, reasoners, http://www.disit.org/5979
data mining, data fusion and reconciliation, data harvesting
scheduling data protection and property management and licensing
deducting and learning methods for data analytics
sensors networks, internet of things
indoor/outdoor navigation systems: Mobile Emergency
http://www.disit.org/5501
Florence data set: see http://LOG.disit.org and http://Servicemap.disit.org
Cloud simulation, verification and validation of resources,
configuration
Dynamic Service Level Agreements for cloud
Cloud optimization tools for resources, cloud monitoring
Cloud applications for: education, business, cultural heritage,
knowledge management Cloud and big data computing integration
Cloud interoperability and federation
Recent references of DISIT projects, http://www.disit.org/5501
Smart City data and tools projects and solutions, open data, smart city reasoners and critical detector, Sii-Mobility (http://www.disit.org/5478 ) on transport systems services, open data, smart city engine
Coll@bora (http://www.disit.org/5479) on support for family with disables and data protection.
Knowledge mining and semantic reasoners, semantic computing; natural language processing in Italian,
English, German, France; indexing, querying, similarity, matchmaking, reasoning in time and space. OSIM (http://openmind.disit.org), community knowledge mining and understanding
SACVAR (http://www.disit.org/5483), massive big data crawling and competence matchmaking
Smart Cloud computing, cloud automation and intelligence, monitoring and reasoning about cloud
behaviour, verification of configuration consistencies, prediction of critical cases, etc.
ICARO Smart Cloud project (http://www.disit.org/5482 ) Social media, social semantic tools, cultural heritage open data and LOD, social network, social media,
semantic computing, cross media recommendations, data mining, technology advanced learning, e-learning: ECLAP social network and tools for performing arts (http://www.eclap.eu );
Train Control Systems projects on formal methods ERTMS, CBTC:
TRACE-IT autonomous drivers for high speed trains and metro (http://www.disit.org/5485),
RAISSS interlocking, verification and validation, logic reasoners (http://www.disit.org/5481),
TESYSRAIL train signal control system, high speed train (http://www.disit.org/5530)
Relevant Services using DISIT Solutions, http://www.disit.org/5522
Infrastructure and services with DISIT
technologies ECLAP social network and tools for
performing arts (http://www.eclap.eu )
APREtoscana research network and
matchmaking (http://www.apretoscana.org First Class Continuous Medical Education
(http://fad.fclass.it)
Mobile Medicine social network and tools
for medicine (http://mobmed.axmedis.org
OSIM: competence management and
content user relationships
(http://openmind.disit.org ) LOG: linked open graph, LOD/LD access
and browsing tool (http://log.disit.org )
Service map: smart city data ingestion of
Open data, fusion and service (http://servicemap.disit.org )
Parallel and distributed processing of automated semantic computing and production, AXMEDIS framework and tools for protection, DRM tools (http://www.AXMEDIS.org )
Licensing, IPR management for content and data:
IPR Wizards IPR modelling and Conditional Access (http://www.disit.org/5509 )
Affiliations and stable collaborations of DISIT Lab, http://www.disit.org/5486
Knowledge Systems Institute of Pittsburgh, USA, for sentient multimedia, DMS,. research collaboration
Sentient Multimedia Network of Knowledge Systems Institute, USA, as DISIT provider and research
collaboration
NEM: Network and Media
Europeana, as ECLAP.eu Aggregator
IBM, big data and data analytic collaboration
ONTOTEXT for the OWLIM usage and test
MPEG ISO, UNINFO, standard on MPEG and Smart City
CNIT: Consorzio Nazionale Interuniversitario Telecomunicazioni, Italy
CINI: Consorzio Interuniversitario Nazionale per l'Informatica, Italy, National Lab on CyberSecurity
Cluster Tecnologico Nazionale Trasporti, Italy
ICON Foundation, Human Brain Project collaboration
University of Milan: for AXMEDIS DRM solutions of DISIT
Embedded systems builders for Internet of Things: Intel, Fluctus, etc.
CSAVRI IUF of UNIFI, on the basis of DISIT technology provider
DISIT Infrastructures and Facilities
DISIT Lab
DISIT Cloud and data center
Open Data and Linked Open Data center
INEA-LAB: electroacoustic engineering
DISIT has generated Effective Knowledge start up of the University of Florence, http://www.effective-knowledge.com
Contact Paolo Nesi, @paolonesi
DISIT Lab, DINFO: Dipartimento di Ingegneria dell'Informazione Università degli Studi di Firenze - School of Engineering
Via S. Marta, 3 - 50139 Firenze, ITALY
http://www.disit.dinfo.unifi.it , http://www.disit.org Ver 3.2.doc