We study the problem of designing reverse engineering techniques for associating semantic descriptions to existing 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 perform the reverse engineering of a data service, expressed a query over the data sources, by deriving a query over the ontology that explains the semantics of the data service in terms of the element of the ontology. We illustrate a formal framework for this problem, based on the notion of source-to-ontology 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 a source-to-ontology rewriting of a given data service), and computation (computing a source-to-ontology rewriting of a data service).
Reverse engineering of data services / Cima, G.; Lenzerini, M.; Poggi, A.. - 2400:(2019). (Intervento presentato al convegno 27th Italian Symposium on Advanced Database Systems, SEBD 2019 tenutosi a Grosseto; Italy).
Reverse engineering of data services
Cima G.
;Lenzerini M.
;Poggi A.
2019
Abstract
We study the problem of designing reverse engineering techniques for associating semantic descriptions to existing 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 perform the reverse engineering of a data service, expressed a query over the data sources, by deriving a query over the ontology that explains the semantics of the data service in terms of the element of the ontology. We illustrate a formal framework for this problem, based on the notion of source-to-ontology 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 a source-to-ontology rewriting of a given data service), and computation (computing a source-to-ontology rewriting of a data service).File | Dimensione | Formato | |
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Cima_Reverse-Engineering_2019.pdf
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