Model Driven Engineering and Ontology Development

This book PDF is perfect for those who love Computers genre, written by Dragan Gaševic and published by Springer Science & Business Media which was released on 12 June 2009 with total hardcover pages 385. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Model Driven Engineering and Ontology Development books below.

Model Driven Engineering and Ontology Development
Model Driven Engineering and Ontology Development
Author : Dragan Gaševic
File Size : 47,7 Mb
Publisher : Springer Science & Business Media
Language : English
Release Date : 12 June 2009
ISBN : 9783642002823
Pages : 385 pages
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Model Driven Engineering and Ontology Development by Dragan Gaševic Book PDF Summary

Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts such as description logics or rule-based systems, and most software engineers are unfamiliar with these. This book fills this gap by covering the subject of MDA application for ontology development on the Semantic Web. The writing is technical yet clear, and is illustrated with examples. The book is supported by a website.

Model Driven Engineering and Ontology Development

Model Driven Engineering and Ontology Development by Dragan Gaševic,Dragan Djuric,Vladan Devedžic

Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts

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Model Driven Architecture and Ontology Development

Model Driven Architecture and Ontology Development by Dragan Gaševic,Dragan Djuric,Vladan Devedžic

Defining a formal domain ontology is considered a useful, not to say necessary step in almost every software project. This is because software deals with ideas rather than with self-evident physical artefacts. However, this development step is hardly ever done, as ontologies rely on well-defined and semantically powerful AI concepts

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Semantic Web and Model Driven Engineering

Semantic Web and Model Driven Engineering by Fernando S. Parreiras

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

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Ontology Driven Software Development

Ontology Driven Software Development by Jeff Z. Pan,Steffen Staab,Uwe Aßmann,Jürgen Ebert,Yuting Zhao

This book is about a significant step forward in software development. It brings state-of-the-art ontology reasoning into mainstream software development and its languages. Ontology Driven Software Development is the essential, comprehensive resource on enabling technologies, consistency checking and process guidance for ontology-driven software development (ODSD). It demonstrates how to apply

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Model Driven Engineering and Software Development

Model Driven Engineering and Software Development by Luís Ferreira Pires,Slimane Hammoudi,Bran Selic

This book constitutes thoroughly revised and selected papers from the 5th International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017, held in Porto, Portugal, in February 2017. The 20 thoroughly revised and extended papers presented in this volume were carefully reviewed and selected from 91 submissions. They contribute to the development of highly

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Semantic Web and Model Driven Engineering

Semantic Web and Model Driven Engineering by Fernando S. Parreiras

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

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Bridging Technological Spaces

Bridging Technological Spaces by Tobias Walter

Model-Driven Engineering (MDE) aims to raise the level of abstraction in software system specifications and increase automation in software development. Modelware technological spaces contain the languages and tools for MDE that software developers take into consideration to model systems and domains. Ontoware technological spaces contain ontology languages and technologies to

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Advances and Applications in Model Driven Engineering

Advances and Applications in Model Driven Engineering by Díaz, Vicente García

As organizations and research institutions continue to emphasize model-driven engineering (MDE) as a first-class approach in the software development process of complex systems, the utilization of software in multiple domains and professional networks is becoming increasingly vital. Advances and Applications in Model-Driven Engineering explores this relatively new approach in software

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