Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Serdica Journal of Computing, Vol. 13, No 3-4, (2019), 123p-138p
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.