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Emanuele Della Valle
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Big Data: how to use it to create value
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Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. This key note, which I gave at the 12th Semantic Web Summer School, presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.
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The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
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Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Emanuele Della Valle
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
On Stream Reasoning
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Emanuele Della Valle
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
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Emanuele Della Valle
C’è un modo di raccontare un evento che passa attraverso la lettura dei flussi social che genera. Quella traccia digitale che ogni partecipante lascia sui social network quando condivide la sua partecipazione o la sua opinione. E’ possibile fondere e interpretare in tempo reale tali tracce utilizzando tecnologie d’analisi d’avanguardia e modelli avanzati di visualizzazione dei dati. Nel 2014 in collaborazione con StudioLabo e Telecom Italia, il Politecnico di Milano ha realizzato CitySensing, per mostrare l’impronta lasciata dal FuoriSalone sui social network. Focalizzando, in seguito, CitySensing sulle esigenze del gestore dell’evento, il Politecnico di Milano ha mostrato la potenzialità dell’approccio per il Festival della Comunicazione di Camogli e per il Festival delle Letterature di Pescara. La soluzione è ora offerta da Fluxedo.
Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03
Emanuele Della Valle
C'è un modo di racocontare la città che passa attraverso la lettura dei flussi di dati che essa genera. Quelle tracce digitali che ciascuno di noi lascia ogni volta che compie un piccolo gesto quotidiano, come fare una telefonata o inviare un tweet. In City Data Fusion, il Politecnico di Milano e Telecom Italia raccontano le città fondendo, interpretando e visualizzando i Big Data, ovvero quell'enorme e continuo flusso di tracce digitali che i loro abitanti e visitotori lasciano utilizzando il proprio smartphone o i servizi della città. Questa presentazione vi introduce all'osservazione alcune città italiane in una prospettiva nuova.
City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)
Emanuele Della Valle
Mais de Emanuele Della Valle
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Taming velocity - a tale of four streams
Taming velocity - a tale of four streams
Stream reasoning
Stream reasoning
Work in progress on Inductive Stream Reasoning
Work in progress on Inductive Stream Reasoning
Big Data and Data Science W's
Big Data and Data Science W's
Knowledge graphs in search engines
Knowledge graphs in search engines
La città dei balocchi 2017 in numeri - Fluxedo
La città dei balocchi 2017 in numeri - Fluxedo
Stream Reasoning: a summary of ten years of research and a vision for the nex...
Stream Reasoning: a summary of ten years of research and a vision for the nex...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Stream reasoning: an approach to tame the velocity and variety dimensions of ...
Big Data: how to use it to create value
Big Data: how to use it to create value
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Listening to the pulse of our cities with Stream Reasoning (and few more tech...
Ist16-04 An introduction to RDF
Ist16-04 An introduction to RDF
Ist16-03 An Introduction to the Semantic Web
Ist16-03 An Introduction to the Semantic Web
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
Ist16-02 HL7 from v2 (syntax) to v3 (semantics)
IST16-01 - Introduction to Interoperability and Semantic Technologies
IST16-01 - Introduction to Interoperability and Semantic Technologies
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...
On Stream Reasoning
On Stream Reasoning
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...
Social listener-brera-design-district-2015-03
Social listener-brera-design-district-2015-03
City Data Fusion for Event Management (in Italiano)
City Data Fusion for Event Management (in Italiano)
IC2008 Contenuto
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5. Il
contenuto Parte IV: forma e contenuto
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