Category: data science

Myths and Challenges in Knowledge Extraction and Big Data Analysis

by Marco Brambilla, posted in big data, data science, event, IoT, modeling, smartcity, social network, social network analysis

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.

Analysis of user behaviour and social media content for art and culture events

by Marco Brambilla, posted in big data, data science, event, experience, social network, social network analysis

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

Modeling, Modeling, Modeling: From Web to Enterprise to Crowd to Social

by Marco Brambilla, posted in big data, data science, modeling, software engineering

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

by Marco Brambilla, posted in big data, data science, modeling, 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

by Marco Brambilla, posted in big data, data science, event

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.

Extracting Emerging Knowledge from Social Media

by Marco Brambilla, posted in big data, data science, event, experience, social network, social network analysis

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

by Marco Brambilla, posted in data science

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

The Dawn of a new Digital Renaissance in Cultural Heritage

by Marco Brambilla, posted in data science

Fluxedo joined forces with the Observatory of Digital Innovation in Arts & Culture Heritage (Osservatorio per l'innovazione digitale nei beni e attività culturali) by the School of Management (MIP) of Politecnico di Milano, for covering the social media analytics of Italian and international museums. The results of the work have been presented during an event on January … Continue reading The Dawn of a new Digital Renaissance in Cultural Heritage

Keynote from Google Research on Building Knowlege Bases at #ICWE2016

by Marco Brambilla, posted in data science

I report here some highlights of the keynote speech by Xin Luna Dong at the 16th International Conference on Web Engineering (ICWE 2016). Incidentally, she is now moving to Amazon for starting a new project on building an Amazon knowledge base. Building knowledge bases still remains a challenging task. First, one has to decide how … Continue reading Keynote from Google Research on Building Knowlege Bases at #ICWE2016

ECMFA: 12th European Conference on Modelling Foundations and Applications

by Marco Brambilla, posted in data science

This year I'm involved in the program committee of the Foundations track of ECMFA. ECMFA 2016 is the 12th European Conference on Modelling Foundations and Applications and is co-located with STAF 2016, on 4-8 July, 2016, in Vienna, Austria. Here are some core excerpts from the call for papers, which could be of interest for software … Continue reading ECMFA: 12th European Conference on Modelling Foundations and Applications