We study a novel reasoning task in Ontology-based Data Management (OBDM), called Abstraction, which aims at associating formal semantic descriptions to data services. In OBDM a domain ontology is used to provide a semantic layer mapped to the data sources of an organization. The basic idea of the work presented in this paper 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 three different notions of abstraction, called sound, complete, and perfect, respectively. We present a thorough complexity analysis of two computational problems, namely verification (checking whether a query is an abstraction of a given data service), and computation (computing an abstraction of a given data service).
The notion of Abstraction in Ontology-based Data Management / Cima, G; Poggi, A; Lenzerini, M. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - 323:(2023). [10.1016/j.artint.2023.103976]
The notion of Abstraction in Ontology-based Data Management
Cima, G
Primo
;Poggi, ASecondo
;Lenzerini, MUltimo
2023
Abstract
We study a novel reasoning task in Ontology-based Data Management (OBDM), called Abstraction, which aims at associating formal semantic descriptions to data services. In OBDM a domain ontology is used to provide a semantic layer mapped to the data sources of an organization. The basic idea of the work presented in this paper 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 three different notions of abstraction, called sound, complete, and perfect, respectively. We present a thorough complexity analysis of two computational problems, namely verification (checking whether a query is an abstraction of a given data service), and computation (computing an abstraction of a given data service).File | Dimensione | Formato | |
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Note: https://doi.org/10.1016/j.artint.2023.103976
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