DISIT lab and research group of the University of Florence (http://www.disit.dinfo.unifi.it) is active since 1994. It is one of the most active labs on ICT and Big Data of the University of Florence. DISIT successfully developed a relevant number of International and National research, development and innovation projects. DISIT provides an infrastructure for big data, cloud and distributed computing, the DISIT datacenter and collaborates with International stakeholders, companies and research groups: Leonardo, Swarco, THALES, ENEL, TIM, Engineering, IBM, CSAVRI, FRI of UNIFI, CNIT, CINI, KSI (USA), MPEG ISO, VARGROUP, etc.
DISIT research areas: big data, data mining, IOT/IOE, semantic models and computing, knowledge representation and inference, artificial intelligence, natural language processing, sentiment analysis, distributed systems, high performance, content and data licensing and protection, ontology modelling, formal models, metrics definition and assessment, digital rights management, and conditional access. DISIT algorithms and solutions for: recognition, disambiguation, user behaviour analysis, collective analysis, recommendation, multilingual and cross media indexing, path generation, user profiling, indoor/outdoor navigation, media synchronization, knowledge matchmaking, decision support, sentient and autonomous agents and tools, ontology production, etc. References of DISIT activities in the areas of knowledge mining and semantic computing:
- Big Data, data analytics: https://www.disit.org/6512, predictive models, and anomaly detection techniques, exploiting machine learning, clustering, statistics, etc. noSQL distributed stores for big data, RDF deduction, multiple custom indexes for RDF stores, expert systems; data analytics, causality vs correlation, data mining, data fusion and reconciliation; reasoners for: temporal, spatial, natural language, space, etc.; Expert Systems, Decision Support Systems: Domains of: mobility, transport, environment, user behaviour, social.
- Smart City algorithms and tools: https://www.km4city.org Smart City models, tools, engine and reasoners; Data aggregation, IOT, OD/LOD; data crawling, rendering, algorithms, reasoners; city resilience; Smart City Ontology and Expert Systems; data mining, data fusion and reconciliation, data harvesting scheduling; deducting and learning methods for data analytics; sensors networks, internet of things, mobile computing; human behaviour analysis, mobile tracking, park prediction, human prediction, traffic flow reconstruction, OD metrics construction, routing, etc.; projects and innovations: Snap4City/Km4City, Sii-Mobility, RESOLUTE H2020, REPLICATE H2020 and Coll@bora.
