Geodesic
Automatic Conceptual Database Design based on Heterogeneous Source Artifacts
Computer Science and Information Systems, Tome 21 (2024) no. 4.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

The article presents an approach to the automatic derivation of conceptual database models from heterogeneous source artifacts. The approach is based on the integration of conceptual database models that are derived from source artifacts of one single type by already existing tools, whereby those models possess limited certainty given their limited completeness and correctness. The uncertainty of the automatically derived models from specific source artifacts is expressed and managed through the effectiveness measure of the generation of specific concepts of the input conceptual database models. The approach is implemented by the DBomnia tool – the first online web-based tool enabling automatic derivation of conceptual database models from heterogeneous source artifacts (business process models and textual specifications). DBomnia employs other pre-existing tools to derive conceptual models from sources of the same type and then integrates those models. The case study-based evaluation proves that the implemented approach enables effective automatic derivation of the conceptual database model from a set of heterogeneous source artifacts. Moreover, the automatic derivation of the conceptual database model from a set of heterogeneous source artifacts is more effective than each independent automatic derivation of the conceptual database model from sources of one single type only.
Keywords: AMADEOS, DBomnia, Schema integration, Schema matching, Schema merging, TexToData, UML class diagram, Uncertain schema 
@article{CSIS_2024_21_4_a35,
     author = {Goran Banjac and Drazen Brdjanin and Danijela Banjac},
     title = {Automatic {Conceptual} {Database} {Design} based on {Heterogeneous} {Source} {Artifacts}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {21},
     number = {4},
     year = {2024},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a35/}
}
TY  - JOUR
AU  - Goran Banjac
AU  - Drazen Brdjanin
AU  - Danijela Banjac
TI  - Automatic Conceptual Database Design based on Heterogeneous Source Artifacts
JO  - Computer Science and Information Systems
PY  - 2024
VL  - 21
IS  - 4
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a35/
ID  - CSIS_2024_21_4_a35
ER  - 
%0 Journal Article
%A Goran Banjac
%A Drazen Brdjanin
%A Danijela Banjac
%T Automatic Conceptual Database Design based on Heterogeneous Source Artifacts
%J Computer Science and Information Systems
%D 2024
%V 21
%N 4
%I mathdoc
%U http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a35/
%F CSIS_2024_21_4_a35
Goran Banjac; Drazen Brdjanin; Danijela Banjac. Automatic Conceptual Database Design based on Heterogeneous Source Artifacts. Computer Science and Information Systems, Tome 21 (2024) no. 4. http://geodesic.mathdoc.fr/item/CSIS_2024_21_4_a35/