Large manufacturing companies in mission-critical sectors like aerospace, healthcare, and defense, typically design, develop, integrate, verify, and validate products characterized by high complexity and low volume. They carefully document all phases for each product but analyses across products are challenging due to the heterogeneity and unstructured nature of the data in documents. In our research, … Continue reading Integrating Large Language Models and Knowledge Graphs for Extraction and Validation of Textual Data
Category: experience
Data Cleaning for Knowledge Extraction and Understanding on Social Media
Social media platforms let users share their opinions through textual or multimedia content. In many settings, this becomes a valuable source of knowledge that can be exploited for specific business objectives. Brands and companies often ask to monitor social media as sources for understanding the stance, opinion, and sentiment of their customers, audience and … Continue reading Data Cleaning for Knowledge Extraction and Understanding on Social Media
Analysis of user behaviour and social media content for art and culture events
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
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.
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
Success story paper: Large-scale Model-Driven Engineering of Web User Interaction with WebML and WebRatio
Our paper "Large-scale Model-Driven Engineering of Web User Interaction: The WebML and WebRatio experience" has been published online on Elsevier's journal: Science of Computer Programming, in the special issue Success Stories in Model Driven Engineering (edited by Davide Di Ruscio, Richard Paige, Alfonso Pierantonio).The history we report spans across a decade that has seen a … Continue reading Success story paper: Large-scale Model-Driven Engineering of Web User Interaction with WebML and WebRatio