Ontology-Based Data Access: A Survey

Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati, Michael Zakharyaschev

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence

Survey track. Pages 5511-5519.

https://doi.org/10.24963/ijcai.2018/777

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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.

Keywords

  • Knowledge Representation and Reasoning: Description Logics and Ontologies
  • Knowledge Representation and Reasoning: Knowledge Representation Languages
  • Knowledge Representation and Reasoning: Logics for Knowledge Representation
  • Multidisciplinary Topics and Applications: Intelligent Database Systems
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