File Name: model driven engineering and ontology development .zip
- A Model-Driven Engineering Approach for ROS using Ontological Semantics
- Model Driven Ontology: A New Methodology for Ontology Development
- Model Driven Engineering and Ontology Development
Defining a formal domain ontology is generally 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 largely unfamiliar with these.
A Model-Driven Engineering Approach for ROS using Ontological Semantics
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Ontology-Based Model Driven Engineering for Safety Verification Abstract: Safety assessment of dependable systems is a complex verification task that is desirable to be explicitly incorporated into the development cycle during the very early stages of a project. The main reason is that the cost to correct a safety error at the late stages of system development is excessively high. Towards this aim, we introduce an ontology-based model-driven engineering process for automating transformations of models that are utilized as reusable artifacts.
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Semantic technology is becoming a preferable alternative for enterprise-wide applications intertwined with interoperable information sharing, due to the distributed nature of this technology. Ontology is the cornerstone of semantic technology; therefore, a major challenge for the project team is to build a complete and consistent ontology data model that represents the correct business domain. View Paper.
From the reviews: "The central theme of this book is the definition and application of ontologies for developing software systems. The presentation style is clear and accessible This book provides adequate guidelines for enjoying the semantic Web's benefits, and warns of the potential dangers of its misuse. It is well written, innovative, and definitely recommended as a book to return to from time to time, to gather some fresh ideas and continue working on their implementation. Ivanovi, Computing Reviews, January, "The book is equally suited to those who merely want to be informed of the relevant technological landscape, to practitioners dealing with concrete problems, and to researchers seeking pointers to potentially fruitful areas of research.
Model Driven Ontology: A New Methodology for Ontology Development
An integral element of software engineering is model engineering. They both endeavor to minimize cost, time, and risks with quality software. As such, model engineering is a highly useful field that demands in-depth research on the most current approaches and techniques. Only by understanding the most up-to-date research can these methods reach their fullest potential. Advancements in Model-Driven Architecture in Software Engineering is an essential publication that prepares readers to exercise modeling and model transformation and covers state-of-the-art research and developments on various approaches for methodologies and platforms of model-driven architecture, applications and software development of model-driven architecture, modeling languages, and modeling tools. Highlighting a broad range of topics including cloud computing, service-oriented architectures, and modeling languages, this book is ideally designed for engineers, programmers, software designers, entrepreneurs, researchers, academicians, and students.
Toggle navigation. Have you forgotten your login? HAL-Inria Publications, software Conference papers. Hide details. Abstract : The semantic interoperability of information has become increasingly important in Product Development Process PDP to support different phases during the product development.
Model Driven Engineering and Ontology Development
Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Zander and G. Heppner and G.
Gasevic , D. Djuric , and V. Springer, Dordrecht, 2 edition, BibSonomy The blue social bookmark and publication sharing system.
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