Towards OntoUML for Software Engineering: Optimizing Kinds and Subkinds Transformed into Relational Databases

2018 ◽  
pp. 31-45 ◽  
Author(s):  
Zdeněk Rybola ◽  
Robert Pergl
Keyword(s):  
Software Engineering ◽  
Relational Databases

scholarly journals Towards ontoUML for software engineering: Transformation of kinds and subkinds into relational databases

2017 ◽  
Vol 14 (3) ◽  
pp. 913-937 ◽  
Author(s):  
Zdeněk Rybola ◽  
Robert Pergl
Keyword(s):  
Software Engineering ◽  
Relational Database ◽  
Relational Databases ◽  
Conceptual Modelling ◽  
Modelling Language ◽  
Model Driven Development ◽  
Model Driven ◽  
Precise Meaning ◽  
Application Data ◽  
High Level

OntoUML is an ontologically well-founded conceptual modelling language that distinguishes various types of classifiers and relations providing precise meaning to the modelled entities. While Model-Driven Development is a wellestablished approach, OntoUML has been overlooked so far as a conceptual modelling language for the PIM of application data. This paper is an extension of the paper presented at MDASD 2016, where we outlined the transformation of Rigid Sortal Types ? Kinds and Subkinds. In this paper, we discuss the details of various variants of the transformation of these types and the rigid generalization sets. The result of our effort is a complete method for preserving high-level ontological constraints during the transformations, specifically special multiplicities and generalization set meta-properties in a relational database using views, CHECK constraints and triggers.

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

Sign in / Sign up

Export Citation Format

Share Document