Welcome to

DISIT

The Distributed Systems and Internet Technologies Lab of University of Florence
Department of Information Engineering (DINFO)

DISIT Lab overview

      




 
Visit the new IOT Smart City Platform of DISIT Lab: Snap4City solution which is fully open source, support cloud and scalability for processing and IOT/IOE, respect user needs and privacy according GDPR and to the different user kinds, provide tools and community for co-creation; mixt data driven, stream and batch processing; it is fully based on microservices and using easily replaceable tools. Snap4City solution has been designed to be Click to access Snap4City tools main entry Click the image to access Snap4City scalable, flexible, safe and respectful of privacy, endowed of a powerful semantic reasoner based on Km4City multi-domain semantic model and tools (https://www.km4city.org). A special attention is provided to enable the development of applications in multiple domains and not only on mobility and transport, tourism, health, welfare, social, etc.        

 

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 many others has covered the role of partner, and also 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, advisory boards, and committees.
DISIT research areas: big data, artificial intelligence, natural language processing, distributed systems, formal models, metrics definition and assessment:
  • Smart City integrated solutions: https://www.disit.org/km4city
  • Data Mining and understanding: OD ingestion, quality improvement, data fusion, reconciliation: http://www.disit.org/6056  
  • Open Data: OD, LOD, RDF stores visual tools, link discovering, enrichment, such as: https://log.disit.org
  • Data analytics: statistics, clustering, logistic and holistic regression, machine learning, indexing and search, similarity distance,  
  • Semantic computing: ontology / knowledge modeling, reasoning, deduction, recognition, disambiguation, prediction, inference, such as: https://www.disit.org/6568
  • high performance distributed systems, Grid and parallel computing: https://www.disit.org/6566, https://www.disit.org/5551
  • RDF store: indexing, high performance, parallel querying
  • Content and data protection: IPR modeling, conditional access, digital rights management, MPEG-21 (http://www.axmedis.org), https://www.disit.org/5509,  protected content players, etc.
  flyer

Km4City

Production
DISIT solutions for: user behaviour analysis, multilingual and cross media indexing, user and collective profiling, indoor/outdoor navigation, media synchronisation, matchmaking, audio transcoding, sentient and autonomous agents and tools, open data, linked open data.

(see more on Publications and Current Projects page, see on the left bar of this page for the Conferences in which DISIT is directly involved). See web page of DISIT coordinator Prof. Paolo Nesi

 
DISIT commitment for the next European Commission Calls are reported below, while major information can be easily recovered by performing a query above, by searching on the web page, projects, documents, papers, deliverables and slides available and indexed on the DISIT Lab web site. The reported links are only to show examples.
DISIT lab may develop original solutions in RIA project as well as solutions grounded on available DISIT tools for specified TRL for IA, inovation action projects:

Big Data, Smart Cities and Distributed Systems:

 Smart City models and applications:

 Collective Awarness Platforms:

  • Social media tools and platforms
  • Collective profiling computing, suggestions and recommendations
  • Scalable social media platforms, LOD for cultural heritage
  • Open data and linked open data: tools (LOG, Service map), algorithms reasoners
  • Ontologies for collective communities, knowledge and competences,
  • matchmaking (see APREToscana), crowd sourcing
  • applications on: mobile, spart TV, tables, etc.
  • natural language processing algorithms and tools: profile processing, comments understanding, affective analysis, social media analysis.
  • intellectual property right models and tools: see IPR wizard and model
  • see for example projects and tools: ECLAP, OSIM, APRETOSCANA
  • high TRL tools
  Creative industry, creativity, elearning: 

 Smart cloud:

 

Linked Open Graph                                 ServiceMap for LOD                         Smart City tools
    

Smart Decision System                 Origin Destination Matrix Tool               Twitter Vigilance