Principali Settori di Ricerca e Innovazione Smart City & Big Data Knowledge Engineering, Data Mining Social media, collaborative work Mobile computing Cloud Computing, Smart Cloud Engine … Per altri progetti: http://www.disit.org/5501

Apertura e Programma

Internet Advertising Why Advertising Business models and Advertising Consumer analysis TV, Magazine Advertising Internet Advertising Measures Other Business Models with Advertising Advertising Services: Google ADWords Lessons Learned Google AdSense Recommendation and Advertising Semantic processin

Semantic Computing --Descrittori --Enrichment --Tassonomie --SKOS --Folksonomies --FOAF Suggestion and Clustering --Raccomandazioni / suggerimenti --Metrics Similarity Distances --Clustering algorithms comparison --Performances, Incremental Clustering --Geo Proximity suggestions --Suggerimenti U?U a

Twitter Vigilance, TV è uno strumento multiutente per l’analisi di “Canali Twitter”, sviluppato dal DISIT Lab dell’Università degli Studi di Firenze.

This paper presents the design issues and discusses various scenarios and usages of a cross-media production framework under the AXMEDIS project [1, 2, 4] which aims to create a framework for the automatic production and distribution of digital crossmedia contents over a range of different media cha

Sistemi di Web Crawling --Introduzione --Strategie di Crawling --Robot Exclusion Protocol --Concorrenza NLP: Natural Language Processing --Introduzione --Stato dell’Arte --Fasi dell’Elaborazione in Linguaggio Naturale --NLP Tools: GATE Progetto OSIM --Scenario --Architettura del Sistema --Funzionali

DISIT Twitter Vigilance is an intelligent multi user tool for creating personal dashboards and study events and trends on Twitter that becomes a mining tool to "Twitter channels" contents.

DISIT Twitter Vigilance is an intelligent multi user tool for creating personal dashboards and study events and trends on Twitter that becomes a mining tool to "Twitter channels" contents.

The proposed presentation is going to expose the integrated solutions around Km4City model which has been set up by the DISIT lab in Florence (http://www.disit.org/6056 ) and adopted in some EC and national smart city projects (Sii-Mobility Smart City MIUR pro