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2018 IJCAI IJCAI 2018

Ontology-Based Data Access: A Survey

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.

🧭 Keyword Pioneer — semantic query
🐝 Cross-Pollinator — Artificial Intelligence, Deep Learning, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning

Authors

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

Topics

Artificial Intelligence > Core AI > Interpretability Artificial Intelligence > Learning Paradigms > Transfer Learning Artificial Intelligence > Core AI > Knowledge Representation

Keywords

data integration knowledge base relational database relational datum ontology-based data access description logic query answering semantic query semantic integration semantic paradigm relational data source
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