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Ontology-Based Data Access: A Survey
Conference proceeding   Open access  Peer reviewed

Ontology-Based Data Access: A Survey

Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati and Michael Zakharyaschev
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), pp.5511-5519
International Joint Conference on Artificial Intelligence. Proceedings
27th International Joint Conference on Artificial Intelligence and 23rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018) (Stockholm, 17/07/2018 - 19/07/2018)
2018
DOI: https://doi.org/10.24963/ijcai.2018/777
Handle:
https://hdl.handle.net/10863/11312

Abstract

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.
url
https://www.ijcai-18.org/View
url
https://www.ijcai.org/proceedings/2018/777View

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