Geodesic
A Set of Conceptual Guidelines for Reverse Engineering Using Ontology-Based Materialized Views
Serdica Journal of Computing, Tome 13 (2019) no. 3-4, pp. 123-138.

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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.
Keywords: Relational Database, Conceptual Modeling, Reverse Engineering, Materialized View Ontology 
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Sy, Oumar. A Set of Conceptual Guidelines for Reverse Engineering Using Ontology-Based Materialized Views. Serdica Journal of Computing, Tome 13 (2019) no. 3-4, pp. 123-138. http://geodesic.mathdoc.fr/item/SJC_2019_13_3-4_a2/