From Knowledge Representation to Knowledge Organization and Back

F Giunchiglia, M Bagchi - International Conference on Information, 2024 - Springer
Abstract Knowledge Representation (KR) and facet-analytical Knowledge Organization (KO)
have been the two most prominent methodologies of data and knowledge modelling in the …

Big-Thick Data generation via reference and personal context unification

F Giunchiglia, X Li - ECAI 2024, 2024 - ebooks.iospress.nl
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 (eg, physical activities …

LiveData--A Worldwide Data Mesh for Stratified Data

S Bocca, A Ganbold, T Zundui - arXiv preprint arXiv:2407.00036, 2024 - arxiv.org
Data reuse is fundamental for reducing the data integration effort required to build data
supporting new applications, especially in data scarcity contexts. However, data reuse …

How To Teach Domain Ontology-based Knowledge Graph Construction? An Irish Experiment

S Das, M Bagchi, P Hussey - KO KNOWLEDGE ORGANIZATION, 2023 - nomos-elibrary.de
Abstract Domains represent concepts which belong to specific parts of the world. The
particularized meaning of words linguistically encoding such domain concepts are provided …

Building Interoperable Electronic Health Records as Purpose Driven Knowledge Graphs

S Bocca, A Zamboni, G Bella, Y Chandrashekar… - Data Science and …, 2024 - Springer
When building a new application we are increasingly confronted with the need of reusing
and integrating pre-existing knowledge. Nevertheless, it is a fact that this prior knowledge is …