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Titlebook: Model Driven Engineering and Ontology Development; Vladan Deved?ic,Dragan Djuric,Dragan Ga?evic Book 2009Latest edition Springer-Verlag Be

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書目名稱Model Driven Engineering and Ontology Development
編輯Vladan Deved?ic,Dragan Djuric,Dragan Ga?evic
視頻videohttp://file.papertrans.cn/636/635765/635765.mp4
概述Explains in detail how to use standards like MDA and UML for ontology development.First detailed description of OMG’s upcoming ODM (Ontology Definition Metamodel) standard.Illustrated throughout with
圖書封面Titlebook: Model Driven Engineering and Ontology Development;  Vladan Deved?ic,Dragan Djuric,Dragan Ga?evic Book 2009Latest edition Springer-Verlag Be
描述.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. . .Ga?evic and his co-authors try to fill this gap by detailing how to use model-driven engineering for ontology development on the Semantic Web. Part I of their book describes existing technologies, tools, and standards like XML, RDF, OWL, MDA, and UML. Part II presents the first detailed description of OMG‘s new ODM (Ontology Definition Metamodel) initiative, a specification which is expected to be in the form of an OMG language like UML. Finally, Part III is dedicated to applications and practical aspects of developing ontologies using MDA-based languages. . .For this second edition, the descriptions of the related standards (like MOF, ODM, OCL, and OWL) have been revised and updated; new chapters introducing the basic principle
出版日期Book 2009Latest edition
關(guān)鍵詞Ontologie; artificial intelligence; knowledge; knowledge representation; modeling; semantic web; software
版次2
doihttps://doi.org/10.1007/978-3-642-00282-3
isbn_softcover978-3-642-10134-2
isbn_ebook978-3-642-00282-3
copyrightSpringer-Verlag Berlin Heidelberg 2009
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https://doi.org/10.1007/978-3-642-00282-3Ontologie; artificial intelligence; knowledge; knowledge representation; modeling; semantic web; software
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978-3-642-10134-2Springer-Verlag Berlin Heidelberg 2009
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Book 2009Latest editionare 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 wit
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Resistance to Corruption of General Strategic Argumentationmentation under the aims and semantics we study is resistant to espionage. Resistance to collusion varies according to the player’s aim and the argumentation semantics, and we present a complete picture for the aims and semantics we address.
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