Ebook: Ontologies for Software Engineering and Software Technology
There are few books available in the area of Ontology for software engineering and this is one the best. The book has eleven chapters, structured in three sections: Introduction, Ontology and domain set concepts and applied ontology as software artifacts in the software process and technologies.
The book has been written for postgraduate students, software engineering researchers and university professors. The book has more than three authors (and several contributors for some chapters). Therefore, the contents have been developed based on the academic standards for use in papers and journals rather than industrial standard that are easy to digest and follow.
The first chapter is about the Ontological engineering principles, methods and tools. In chapter two and three the authors introduces using ontology in software engineering & technology and engineering the ontology for the SWEBOK (Software Engineering Body of Knowledge).
In the following chapters there are many interesting proposals and approaches including software maintenance ontology and ontology for software measurement. In chapter seven, there is an ontological approach to SQL: 2003 that is interesting to study and follow.
Meta-model and general structure of meta-models are introduced and reviewed in chapters eight and nine. In chapter ten, the authors approach the use of Ontologies in software development environment. Sadly this chapter is a little outdated.
Chapter eleven which is "Semantic Upgrade and Publication of Legacy Data" is an interesting chapter with useful information and many good illustrations.
The first chapters are very useful as an introduction to Ontological engineering. Chapters five to eleven are really for those who are competent in ontology and software engineering but are looking to discover more.
The book has been written for postgraduate students, software engineering researchers and university professors. The book has more than three authors (and several contributors for some chapters). Therefore, the contents have been developed based on the academic standards for use in papers and journals rather than industrial standard that are easy to digest and follow.
The first chapter is about the Ontological engineering principles, methods and tools. In chapter two and three the authors introduces using ontology in software engineering & technology and engineering the ontology for the SWEBOK (Software Engineering Body of Knowledge).
In the following chapters there are many interesting proposals and approaches including software maintenance ontology and ontology for software measurement. In chapter seven, there is an ontological approach to SQL: 2003 that is interesting to study and follow.
Meta-model and general structure of meta-models are introduced and reviewed in chapters eight and nine. In chapter ten, the authors approach the use of Ontologies in software development environment. Sadly this chapter is a little outdated.
Chapter eleven which is "Semantic Upgrade and Publication of Legacy Data" is an interesting chapter with useful information and many good illustrations.
The first chapters are very useful as an introduction to Ontological engineering. Chapters five to eleven are really for those who are competent in ontology and software engineering but are looking to discover more.
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