The knowledge we may try to extract from human-generated content, IoT and Web sources can be dispersed, informal, contradicting, unsubstantiated and ephemeral today, while already tomorrow it may be commonly accepted.
The challenge is 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.
I explore the problem that one can face along this path.
In our most recent study, we analysed the user behaviour and profile, as well as the textual and visual content posted on social media for art and culture events. The corresponding paper has been presented at CD-MAKE 2017 in Reggio Calabria on August 31st, 2017. Nowadays people share everything on online social networks, from daily … Continue reading Analysis of user behaviour and social media content for art and culture events
Together with the Urbanscope team, we gave a TedX talk on the topics and results of the project here at Politecnico di Milano. The aim of Urbanscope is to systematically produce compelling views on urban systems to foster understanding and decision making.
This is our perspective on the world: it’s all about modeling. So, why is it that model-driven engineering is not taking over the whole technological and social eco-system? Let me make the case that it is. In the occasion of the 25th edition of the Italian Symposium of Database Systems (SEBD 2017) we (Stefano Ceri … Continue reading Modeling, Modeling, Modeling: From Web to Enterprise to Crowd to Social