We present the framework of ontology-based data access, a semantic paradigm for providing a convenient and user-friendly access to data repositories, which has been actively developed and studied in the past decade. Focusing on relational data sources, we discuss the main ingredients of ontology-based data access, key theoretical results, techniques, applications and future challenges.
2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, Pages 5511-5519
Ontology-Based Data Access: A Survey (04b Atto di convegno in volume)
Xiao Guohui, Calvanese Diego, Kontchakov Roman, Lembo Domenico, Poggi Antonella, Rosati Riccardo, Zakharyaschev Michael
Gruppo di ricerca: Artificial Intelligence and Knowledge Representation