Content: <br>Chapter 1 Introduction (pages 1β8): <br>Chapter 2 Model?Driven Engineering Foundations (pages 9β20): <br>Chapter 3 Ontology Foundations (pages 21β43): <br>Chapter 4 Marrying Ontology and Model?Driven Engineering (pages 44β59): <br>Chapter 4a Conclusion of Part I (page 61): <br>Chapter 5
Integration of the Semantic Web and Model-Driven Software
β Scribed by Fernando Silva Parreiras
- Publisher
- Wiley-IEEE Press
- Year
- 2012
- Tongue
- English
- Leaves
- 250
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The next enterprise computing era will rely on the synergy between both technologies semantic web and model-driven software development (MDSD). The semantic web organizes system knowledge in conceptual domains according to its meaning. It addresses various enterprise computing needs by identifying, abstracting and rationalizing commonalities, and checking for inconsistencies across system specifications. On the other side, model-driven software development is closing the gap among business requirements, designs and executables by using domain-specific languages with custom-built syntax and semantics. It focuses on using modeling languages as programming languages.
Among many areas of application, we highlight the area of configuration management. Consider the example of a telecommunication company, where managing the multiple configurations of network devices (routers, hubs, modems, etc.) is crucial. Enterprise systems identify and document the functional and physical characteristics of network devices, and control changes to those characteristics.
π SIMILAR VOLUMES
The next enterprise computing era will rely on the synergy between both technologies: semantic web and model-driven software development (MDSD). The semantic web organizes system knowledge in conceptual domains according to its meaning. It addresses various enterprise computing needs by identifying,
Model-driven software development (MDSD) drastically alters the software development process, characterized by a high degree of innovation and productivity. However, quality assurance application in the domain of software models and model-driven software development is still in an emergent phase.
<p><P>In a model-based development of software systems different views on a system are elaborated using appropriate modeling languages and techniques. Because of the unavoidable heterogeneity of the viewpoint models, a semantic integration is required, to establish the correspondences of the models