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.
Author: Marco Brambilla
Modeling, Modeling, Modeling: From Web to Enterprise to Crowd to Social
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
A Vision towards the Cognification of Model-driven Software Engineering
Jordi Cabot, Robert Clarisó, Marco Brambilla and Sébastien Gerard submitted a visionary paper on Cognifying Model-driven Software Development to the workshop GrandMDE (Grand Challenges in Modeling) co-located with STAF 2017 in Margburg (Germany) on July 17, 2017. The paper advocates for the cross-domain fertilization of disciplines such as machine learning and artificial intelligence, behavioural analytics, social studies, cognitive … Continue reading A Vision towards the Cognification of Model-driven Software Engineering
Instrumenting Continuous Knowledge Extraction, Sharing, and Benchmarking
Keeping the pace with the faster and faster evolution of knowledge is becoming a challenge, especially for researchers and knowledge workers. We propose a vision towards a set of (possibly integrated) publicly available tools that can help on this. To this purpose, we expect tools that can improve effectiveness of knowledge extraction, storage, analysis, publishing and experimental benchmarking. This could be extremely beneficial for the entire research community across fields and interests. We describe our vision in this direction and we demonstrate its feasibility with some exemplary tools that we developed and that we shared as public resources to be used by the research community.
Model-driven Development of User Interfaces for IoT via Domain-specific Components & Patterns
This is the summary of a joint contribution with Eric Umuhoza to ICEIS 2017 on Model-driven Development of User Interfaces for IoT via Domain-specific Components & Patterns. Internet of Things technologies and applications are evolving and continuously gaining traction in all fields and environments, including homes, cities, services, industry and commercial enterprises. However, still many problems need … Continue reading Model-driven Development of User Interfaces for IoT via Domain-specific Components & Patterns
Extracting Emerging Knowledge from Social Media
Knowledge in the world continuously evolves, and ontologies are largely incomplete. We propose a method and a tool for discovering emerging entities by extracting them from social media. Once instrumented by experts through very simple initialization, the method is capable of finding emerging entities; we propose a mixed syntactic + semantic method.
Spark-based Big Data Analysis of Semantic IFML Models and Web Logs for Enhanced User Behavior Analytics
I'd like to report on our demonstration paper at WWW 2017, focusing on Spark-based Big Data Analysis of Semantic IFML Models and Web Logs for Enhanced User Behavior Analytics. The motivation of the work is that no approaches exist for merging web log analysis and statistics with information about the Web application structure, content and semantics. Indeed, … Continue reading Spark-based Big Data Analysis of Semantic IFML Models and Web Logs for Enhanced User Behavior Analytics
Social Media Behaviour during Live Events: the Milano Fashion Week #MFW case
We study spreading of social content in space during live events, measuring the spreading of the event propagation in space. We build didifferent 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.
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 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. … Continue reading Data Science for Good City Life
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, … Continue reading When a Smart City gets Personal