Semantic Characterization of Data Services through Ontologies

Gianluca Cima, Maurizio Lenzerini, Antonella Poggi

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

Main track. Pages 1647-1653.

https://doi.org/10.24963/ijcai.2019/228

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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).

Keywords

  • Knowledge Representation and Reasoning: Description Logics and Ontologies
  • Knowledge Representation and Reasoning: Computational Complexity of Reasoning
  • Knowledge Representation and Reasoning: Logics for Knowledge Representation
  • Multidisciplinary Topics and Applications: Databases
  • Knowledge Representation and Reasoning: Knowledge Representation Languages
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