2 citations · 2 across the 6 of their papers we have counts for
6 papers
Big-Thick Data generation via reference and personal context unification
Fausto Giunchiglia, Xiaoyue Li
Smart devices generate vast amounts of big data, mainly in the form of sensor data. While allowing for the prediction of many aspects of human behaviour (e.g., physical activities,…
KAE: A Property-based Method for Knowledge Graph Alignment and Extension
Daqian Shi, Xiaoyue Li, Fausto Giunchiglia
A common solution to the semantic heterogeneity problem is to perform knowledge graph (KG) extension exploiting the information encoded in one or more candidate KGs, where the alig…
A context model for collecting diversity-aware data
Matteo Busso, Xiaoyue Li
Diversity-aware data are essential for a robust modeling of human behavior in context. In addition, being the human behavior of interest for numerous applications, data must also b…
A Context Model for Personal Data Streams
Fausto Giunchiglia, Xiaoyue Li, Matteo Busso +1
We propose a model of the situational context of a person and show how it can be used to organize and, consequently, reason about massive streams of sensor data and annotations, as…
Lifelong Personal Context Recognition
Andrea Bontempelli, Marcelo Rodas Britez, Xiaoyue Li +5
We focus on the development of AIs which live in lifelong symbiosis with a human. The key prerequisite for this task is that the AI understands - at any moment in time - the person…
Streaming and Learning the Personal Context
Fausto Giunchiglia, Marcelo Rodas Britez, Andrea Bontempelli +1
The representation of the personal context is complex and essential to improve the help machines can give to humans for making sense of the world, and the help humans can give to m…