Myths and Challenges in Knowledge Extraction and Big Data Analysis

For centuries, science (in German “Wissenschaft”) has aimed to create (“schaften”) new knowledge (“Wissen”) from the observation of physical phenomena, their modelling, and empirical validation.

Recently, a new source of knowledge has emerged: not (only) the physical world any more, but the virtual world, namely the Web with its ever-growing stream of data materialized in the form of social network chattering, content produced on demand by crowds of people, messages exchanged among interlinked devices in the Internet of Things. The knowledge we may find there can be dispersed, informal, contradicting, unsubstantiated and ephemeral today, while already tomorrow it may be commonly accepted.

Picture2The challenge is once again to capture and create consolidated knowledge that is new, has not been formalized yet in existing knowledge bases, and is buried inside a big, moving target (the live stream of online data).

The myth is that existing tools (spanning fields like semantic web, machine learning, statistics, NLP, and so on) suffice to the objective. While this may still be far from true, some existing approaches are actually addressing the problem and provide preliminary insights into the possibilities that successful attempts may lead to.

I gave a few keynote speeches on this matter (at ICEIS, KDWEB,…), and I also use this argument as a motivating class in academic courses for letting students understand how crucial is to focus on the problems related to big data modeling and analysis. The talk, reported in the slides below, explores through real industrial use cases, the mixed realistic-utopian domain of data analysis and knowledge extraction and reports on some tools and cases where digital and physical world have brought together for better understanding our society.

The presentation is available on SlideShare and are reported here below:

Urbanscope: Digital Whispers from the Urban Landscape. TedX Talk Video

Together with the Urbanscope team, we gave a TedX talk on the topics and results of the project here at Politecnico di Milano. The talk was actually given by our junior researchers, as we wanted it to be a choral performance as opposed to the typical one-man show.

The message is that cities are not mere physical and organizational devices only: they are informational landscapes where places are shaped more by the streams of data and less by the traditional physical evidences. We devise tools and analysis for understanding these streams and the phenomena they represent, in order to understand better our cities.

Two layers coexist: a thick and dynamic layer of digital traces – the informational membrane – grows everyday on top of the material layer of the territory, the buildings and the infrastructures. The observation, the analysis and the representation of these two layers combined provides valuable insights on how the city is used and lived.

You can now find the video of the talk on the official TedX YouTube channel:

Urbanscope is a research laboratory where collection, organization, analysis, and visualization of cross domain geo-referenced data are experimented.
The research team is based at Politecnico di Milano and encompasses researchers with competencies in Computing Engineering, Communication and Information Design, Management Engineering, and Mathematics.

The aim of Urbanscope is to systematically produce compelling views on urban systems to foster understanding and decision making. Views are like new lenses of a macroscope: they are designed to support the recognition of specific patterns thus enabling new perspectives.

If you enjoyed the show, you can explore our beta application at:

http://www.urbanscope.polimi.it

and discover the other data science activities we are conducting at the Data Science Lab of Politecnico, DEIB.

 

Social Media Behaviour during Live Events: the Milano Fashion Week #MFW case

Social media are getting more and more  important in the context of live events, such as fairs, exhibits, festivals, concerts, and so on,  as they play an essential role in communicating them to  fans, interest groups, and the general population. These kinds of events are geo-localized within a city or territory and are scheduled within a public calendar.

Together with the people in the Fashion in Process group of Politecnico di Milano, we studied the impact on social media of a specific scenario, the Milano Fashion Week (MFW), which is an important event in Milano for the whole fashion business.

We presented this work at the Location and the Web workshop co-located with the WWW 2017 Conference in Perth, Australia.

We focus our attention on the spreading of social content  in space, measuring the spreading of the event propagation in space. We build different clusters of fashion brands, we characterize several features of propagation in space and we correlate them to the popularity of the brand and temporal propagation.

We show that the clusters along space, time and popularity dimensions are loosely correlated, and therefore trying to  understand the dynamics of the events only based on popularity  aspects would not be appropriate.

The paper PDF is available as open access PDF online on the WWW 2017 Conference web site. You can download it here.

A subsequent paper on the temporal analysis of the same event “Temporal Analysis of Social Media Response to Live Events: The Milano Fashion Week”, focusing on Granger Causality and other measures, has been published at ICWE 2017 and is available in the proceedings by Springer.

The PowerPoint presentation is available on SlideShare.

Data Science for Good City Life

On March 10, 2017 we hosted a seminar by Daniele Quercia in the Como Campus of Politecnico di Milano, on the topic:

Good City Life

daniele-quercia-good-city-life-smartcity
Daniele Quercia

Daniele Quercia leads the Social Dynamics group at Bell Labs in Cambridge
(UK)
. He has been named one of Fortune magazine’s 2014 Data All-Stars, and spoke about “happy maps” at TED.  His research has been focusing in the area of urban informatics and received best paper awards from Ubicomp 2014 and from ICWSM 2015, and an honourable mention from ICWSM 2013. He was Research Scientist at Yahoo Labs, a Horizon senior researcher at the University of Cambridge, and Postdoctoral Associate at the department of Urban Studies and Planning at MIT. He received his PhD from UC London. His thesis was sponsored by Microsoft Research and was nominated for BCS Best British PhD dissertation in Computer Science.

His presentation will contrast the corporate smart-city rhetoric about efficiency, predictability, and security with a different perspective on the cities, which I think is very inspiring and visionary.

“You’ll get to work on time; no queue when you go shopping, and you are safe because of CCTV cameras around you”. Well, all these things make a city acceptable, but they don’t make a city great.

This slideshow requires JavaScript.

Daniele is launching goodcitylife.org – a global group of like-minded people who are passionate about building technologies whose focus is not necessarily to create a smart city but to give a good life to city dwellers. The future of the city is, first and foremost, about people, and those people are increasingly networked. We will see how a creative use of network-generated data can tackle hitherto unanswered research questions. Can we rethink existing mapping tools [happy-maps]? Is it possible to capture smellscapes of entire cities and celebrate good odors [smelly-maps]? And soundscapes [chatty-maps]?

The complete video of the seminar has been streamed live on youtube and is now available online at https://www.youtube.com/watch?v=Z0IprrZ7phc&w=560&h=315 and embedded here:

The seminar was open to the public and hosted at the Polo Regionale di Como headquarters of Politecnico di Milano, located in Via Anzani 42, III floor, Como.

You can also download the Good City Life flyer.

When a Smart City gets Personal

When people talk about smart cities, the tendency is to think about them in a technology-oriented or sociology-oriented manner.

However, smart cities are the places where we leave and work everyday now.

Here is a very broad perspective (in Italian) about the experience of big data analysis and smart city instrumentation for the town of Como, in Italy: an experience on how phone calls, mobility data, social media, people counters can contribute to take and evaluate decisions.

skype-2

You can read it on my Medium channel.

View story at Medium.com