Improving the quality of the language notation may improve dramatically acceptance and adoption, as well as the way people use your notation and the associated tools. Here is a systematic (and automatic) method for creating crowdsourcing campaigns aimed at refining the graphical notation of domain-specific languages.
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.