Ontology-Based Data Access: A Survey

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

IJCAI 2018 pp. 5511-5519

doi:10.24963/IJCAI.2018/777 /ijcai/2018/xiao2018ijcai-ontology/

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.

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Cite

Text

Xiao et al. "Ontology-Based Data Access: A Survey." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/777

Markdown

[Xiao et al. "Ontology-Based Data Access: A Survey." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/xiao2018ijcai-ontology/) doi:10.24963/IJCAI.2018/777

BibTeX

@inproceedings{xiao2018ijcai-ontology,
  title     = {{Ontology-Based Data Access: A Survey}},
  author    = {Xiao, Guohui and Calvanese, Diego and Kontchakov, Roman and Lembo, Domenico and Poggi, Antonella and Rosati, Riccardo and Zakharyaschev, Michael},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5511-5519},
  doi       = {10.24963/IJCAI.2018/777},
  url       = {https://mlanthology.org/ijcai/2018/xiao2018ijcai-ontology/}
}