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Title: A Set of Conceptual Guidelines for Reverse Engineering Using Ontology-Based Materialized Views
Authors: Sy, Oumar
Keywords: Relational Database
Conceptual Modeling
Reverse Engineering
Materialized View Ontology
Issue Date: 2019
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Serdica Journal of Computing, Vol. 13, No 3-4, (2019), 123p-138p
Abstract: Data reuse and meta-data handling remain a tricky problem for both designers and managers, especially when schemas reverse engineering is on demand and some data are stored in materialized views. In this paper, we tackle this problem by using ontology-based meta-materialized views. Indeed, ontologies, which are semantics-based, ensure the stability of the underlying schemas of the data repositories and the ease of the overall access and processing of the data and meta-data. Our proposal is informed by a set of conceptual guidelines and outlined through a case study example. ACM Computing Classification System (1998): H.2.1, H.2.2, H.2.3, H.2.8, K.6.1. Mathematics Subject Classification – MSC2020: 62D10, 62H20.
ISSN: 1312-6555
Appears in Collections:Volume 13, Number 3-4

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