A database design system with conceptual model description language

Author(s):  
M. Managaki ◽  
K. Kawagoe
2020 ◽  
Vol 5 (1) ◽  
pp. 78
Author(s):  
Ade Sumaedi ◽  
Makhsun Makhsun ◽  
Achmad Hindasyah

PT. Duta Nichirindo Pratama is a company engaged in the field of Autoparts Manufacture. Barcode is the identity of an item / product on the package. Barcode technology has been used as the identity of goods in a production. Barcodes are used to facilitate the identification of goods produced. Paste the barcode on the packaging of packaging results at PT. Duta Nichirindo Pratama is done manually, but there are often errors attached to the barcode on a similar packaging. This research will design and create a system based on Visual Basic.Net and Arduino to select barcode attachment errors that have the potential to be sent to consumers. The system is designed using Unified Modeling Language (UML) diagrams, database design and interface menu design. The system created will then be tested to detect the black box test. With a computing-based design system that functions to detect barcodes on the packaging automatically, the problem of sticking barcodes on the packaging can be detected.


Author(s):  
Morad Hajji ◽  
Mohammed Qbadou ◽  
Khalifa Mansouri

Ontologies are spreading more and more in the field of information technologies as a privileged solution allowing the formalization of knowledge. The theoretical model of ontologies is most promising. They are increasingly ubiquitous given the benefits they present. Despite the proliferation of research proposing approaches dedicated to the design of a database from an ontology, the tools to design a database from an ontology are rare or inaccessible. Thus, in this contribution, we present our approach for the development of an Eclipse Plug-in, in order to automatically generate a conceptual model of a relational database from an ontology. To evaluate the usefulness of our approach, we used our resulting Eclipse Plug-in to automatically generate a conceptual model of a relational database from an ontology, customize it, and automatically generate the corresponding SQL script for Data Definition. The results of this experiment showed that our Plug-in constitutes a concretization of our approach and a means of automatic translation from the ontological model to the relational model.


2009 ◽  
pp. 2360-2383
Author(s):  
Guntis Barzdins ◽  
Janis Barzdins ◽  
Karlis Cerans

This chapter introduces the UML profile for OWL as an essential instrument for bridging the gap between the legacy relational databases and OWL ontologies. We address one of the long-standing relational database design problems where initial conceptual model (a semantically clear domain conceptualization ontology) gets “lost” during conversion into the normalized database schema. The problem is that such “loss” makes database inaccessible for direct query by domain experts familiar with the conceptual model only. This problem can be avoided by exporting the database into RDF according to the original conceptual model (OWL ontology) and formulating semantically clear queries in SPARQL over the RDF database. Through a detailed example we show how UML/OWL profile is facilitating this new and promising approach.


2010 ◽  
Vol 21 (3) ◽  
pp. 36-68 ◽  
Author(s):  
Yuan An ◽  
Xiaohua Hu ◽  
Il-Yeol Song

This paper describes a round-trip engineering approach for incrementally maintaining mappings between conceptual models and relational schemas. When either schema or conceptual model evolves to accommodate new information needs, the existing mapping must be maintained accordingly to continuously provide valid services. In this paper, the authors examine the mappings specifying “consistent” relationships between models. First, they define the consistency of a conceptual-relational mapping through “semantically compatible” instances. Next, the authors analyze the knowledge encoded in the standard database design process and develop round-trip algorithms for incrementally maintaining the consistency of conceptual-relational mappings under evolution. Finally, they conduct a set of comprehensive experiments. The results show that the proposed solution is efficient and provides significant benefits in comparison to the mapping reconstructing approach.


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