AODB and CDMM Modeling – Comparative Case-Study
Authors:
- Marek Krótkiewicz,
- Piotr Zabawa
Abstract
The paper is focused on comparison of two different approaches to graph modeling. A case study, which was chosen as a common background for the comparison, is an example of modeling problems characteristic for bioinformatics. First the OMG Semantics of Business Vocabulary and Rules (SBVR) standard was used to define the domain. The Association-Oriented Database (AODB) metamodel based approach was applied to show how the appropriate domain-specific model can be created in a graph modeling language dedicated to data modeling. In contrast, the Context-Driven Meta-Modeling (CDMM) approach, illustrates how to construct a domain-specific modeling language to model the case-study as a domain. The AODB is used as a General-Purpose Modeling Language (GPML) while the CDMM is applied as a Domain-Specific Modeling Language (DSML). Both approaches constitute alternatives for MOF based languages known from OMG standards.
- Record ID
- CUT95d88820ea6a43c8bfe5c0f961defa7c
- Publication categories
- ; ;
- Author
- Pages
- 57-68
- Other elements of collation
- schem.; tab.; Bibliografia (na s.) - 67-68; Bibliografia (liczba pozycji) - 18; Oznaczenie streszczenia - Abstr.
- Book
- Nguyen Ngoc Thanh, Ngoc Thanh Nguyen Hoang Duong Hung, Duong Hung Hoang Hong Tzung-Pei Tzung-Pei Hong [et al.] (eds.): Intelligent Information and Database Systems : 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19–21, 2018 : proceedings. Pt. 2, Lecture Notes in Artificial Intelligence, no. 10752, 2018, Cham, Springer, Springer, ISBN 978-3-319-75420-8 (eBook)
- Keywords in English
- metamodel, data model, domain-specific modeling languages, Association-Oriented Database, AODB
- DOI
- DOI:10.1007/978-3-319-75420-8_6 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-319-75420-8_6 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Web of Science, Scopus, CORE
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT95d88820ea6a43c8bfe5c0f961defa7c/
- URN
urn:pkr-prod:CUT95d88820ea6a43c8bfe5c0f961defa7c
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.