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130626 ||| eng |
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|a 9783642298257
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|a Henderson-Sellers, Brian
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|a On the Mathematics of Modelling, Metamodelling, Ontologies and Modelling Languages
|h Elektronische Ressource
|c by Brian Henderson-Sellers
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|a 1st ed. 2012
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2012, 2012
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| 300 |
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|a IX, 106 p. 98 illus
|b online resource
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|a Computation by Abstract Devices
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|a Software engineering
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|a Mathematical Logic and Formal Languages
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|a Mathematical logic
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|a Software Engineering
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|a Computers
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|a Artificial Intelligence
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|a Artificial intelligence
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|a Models and Principles
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|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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|a SpringerBriefs in Computer Science
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|u https://doi.org/10.1007/978-3-642-29825-7?nosfx=y
|x Verlag
|3 Volltext
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|a 005.1
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|a Computing as a discipline is maturing rapidly. However, with maturity often comes a plethora of subdisciplines, which, as time progresses, can become isolationist. The subdisciplines of modelling, metamodelling, ontologies and modelling languages within software engineering e.g. have, to some degree, evolved separately and without any underpinning formalisms. Introducing set theory as a consistent underlying formalism, Brian Henderson-Sellers shows how a coherent framework can be developed that clearly links these four, previously separate, areas of software engineering. In particular, he shows how the incorporation of a foundational ontology can be beneficial in resolving a number of controversial issues in conceptual modelling, especially with regard to the perceived differences between linguistic metamodelling and ontological metamodelling. An explicit consideration of domain-specific modelling languages is also included in his mathematical analysis of models, metamodels, ontologies and modelling languages. This encompassing and detailed presentation of the state-of-the-art in modelling approaches mainly aims at researchers in academia and industry. They will find the principled discussion of the various subdisciplines extremely useful, and they may exploit the unifying approach as a starting point for future research
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