Semantic Characterization of Data Services Through Ontologies
Abstract
We study the problem of associating formal semantic descriptions to data services. We base our proposal on the Ontology-based Data Access paradigm, where a domain ontology is used to provide a semantic layer mapped to the data sources of an organization. The basic idea is to explain the semantics of a data service in terms of a query over the ontology. We illustrate a formal framework for this problem, based on the notion of source-to-ontology (s-to-o) rewriting, which comes in three variants, called sound, complete and perfect, respectively. We present a thorough complexity analysis of two computational problems, namely verification (checking whether a query is an s-to-o rewriting of a given data service), and computation (computing an s-to-o rewriting of a data service).
Cite
Text
Cima et al. "Semantic Characterization of Data Services Through Ontologies." International Joint Conference on Artificial Intelligence, 2019. doi:10.24963/IJCAI.2019/228Markdown
[Cima et al. "Semantic Characterization of Data Services Through Ontologies." International Joint Conference on Artificial Intelligence, 2019.](https://mlanthology.org/ijcai/2019/cima2019ijcai-semantic/) doi:10.24963/IJCAI.2019/228BibTeX
@inproceedings{cima2019ijcai-semantic,
title = {{Semantic Characterization of Data Services Through Ontologies}},
author = {Cima, Gianluca and Lenzerini, Maurizio and Poggi, Antonella},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2019},
pages = {1647-1653},
doi = {10.24963/IJCAI.2019/228},
url = {https://mlanthology.org/ijcai/2019/cima2019ijcai-semantic/}
}