Appunti delle lezioni di Jànos Korner. Autori: Marco Valerio Barbera, Alessandro Cammarano,
Andrea Cerone, Andrea Moro, Arbri Shqepa,
Dora Spenza e Bruno Vavala
The fourth lesson of the course on Planning and Managing Software projects (http://emanueledellavalle.org/Teaching/PMSP-2011-12.html) that I give at Politecnico di Milano.
Appunti delle lezioni di Jànos Korner. Autori: Marco Valerio Barbera, Alessandro Cammarano,
Andrea Cerone, Andrea Moro, Arbri Shqepa,
Dora Spenza e Bruno Vavala
The fourth lesson of the course on Planning and Managing Software projects (http://emanueledellavalle.org/Teaching/PMSP-2011-12.html) that I give at Politecnico di Milano.
Data streams take many forms and their velocity is hard to tame. They can be myriads of tiny flows that you can collect to tame with Time-series Databases; continuous massive flows than you cannot stop to tame with Data Stream Management Systems; Continuous numerous flows that can turn into a torrent to tame with Event-based Systems; and myriads of continuous flows of any size and speed that form an immense delta to tame with Event-Driven Architectures. Enjoy this introductory talk!
This is the presentation that I did for PoliMI Data Scientists on Stream Reasoning, an approach to blend Artificial Intelligence and Stream Processing.
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
HiPPO and Flipism are no longer the only way to take decisions. In the Big Data / Data Science era one can dream of data-driven organization. If the data were "oil", Big Data technologies extract, transport, and store it, while Data Science methods provide the a way to "refine the crude oil". This presentation elaborates on the Ws (What, Why, When, Who and How) of Big Data and Data Science.
From the semantic interoperability problem to Google's knowledge graph passing from the Semantic Web, Linked Data, Yahoo! search monkey, Facebook Open Graph, and schema.org.
La Città dei Balocchi, con le sue luci, è un evento chiave nel panorama dell'offerta turistica Natalizia Lombarda. La presentazione riporta i risultati di un'analisi di chi è venuto e quando.
Realizzato da Fluxedo srl e Olivetti spa per il Consorzio Como Turistica, con la collaborazione di Politecnico di Milano, TIM e Comune di Como, nel contesto del progetto CrowdInsights finanziato da EIT Digital.
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. I’ve been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Every body talks about Big Data, but why? Do it create value? Do it enable some paradigmatic shifts in the way we work with data? This talk I did at ComoNext research and technological park cast some light on those questions.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...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.
The forth 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 RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
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.
The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
More and more applications require real-time processing of heterogeneous data streams. In terms of the “Vs” of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
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.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...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.
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.
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.
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