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Semantic Interoperability Issues, Solutions, Challenges
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Semantic Interoperability Issues, Solutions, Challenges
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Semantic Interoperability Issues, Solutions, Challenges
Published by River Publishers Okt 2024, 2024
ISBN 10: 8770045275 ISBN 13: 9788770045278
Language: English
Taschenbuch. Condition: Neu. Neuware - The Semantic Interoperability model would improve common interoperability models introducing the interpretation of means of data. In practice, semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors.
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Semantic Interoperability : Issues, Solutions, Challenges
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Semantic Interoperability Issues, Solutions, Challenges (River Publishers Series in Information Science and Technology)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Semantic Interoperability : Issues, Solutions, Challenges
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Hardcover. Condition: Brand New. 164 pages. 9.25x6.25x0.50 inches. In Stock.
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Semantic Interoperability Issues, Solutions, Challenges
Published by Taylor & Francis Ltd (Sales) Mär 2012, 2012
ISBN 10: 8792329799 ISBN 13: 9788792329790
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Semantic technologies are experimenting an increasing popularity in the context of different domains and applications. The understanding of any class of system can be significantly changed under the assumption any system is part of a global ecosystem known as Semantic Web.The Semantic Web would be an evolving extension of current Web model (normally referred as Syntactic Web) that introduces a semantic layer in which semantics, or meaning of information, are formally defined.So, semantics should integrate web-centric standard information infrastructures improving several aspects of interaction among heterogeneous systems. This is because common interoperability models are progressively becoming obsolete if compared with the intrinsic complexity and always more distributed focus that feature modern systems. For example, the basic interoperability model, that assumes the interchange of messages among systems without any interpretation, is simple but effective only in the context of close environments. Also more advanced models, such as the functional interoperability model that integrates basic interoperability model with the ability of intepretating data context under the assumption of a shared schema for data fields accessing, appears not able to provide a full sustainable technologic support for open systems.The Semantic Interoperability model would improve common interoperability models introducing the interpretation of means of data. Semantic interoperability is a concretely applicable interaction model under the assumption of adopting rich data models (commonly called Ontology) composed of concepts within a domain and the relationships among those concepts.In practice, semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors but it is implicitly resident in the knowledge model. In other words, schemas contain information and the 'code' to interpretate it. 162 pp. Englisch.
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Semantic Interoperability Issues, Solutions, Challenges
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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US$ 150.81
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Salvatore F. Pileggi, Carlos Fernandez-LlatasSemantic technologies are experimenting an increasing popularity in the context of different domains and applications. The understanding of any class of system can be significantly changed under th.
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Buch. Condition: Neu. Semantic Interoperability Issues, Solutions, Challenges | Salvatore F. Pileggi (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2012 | River Publishers | EAN 9788792329790 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Semantic technologies are experimenting an increasing popularity in the context of different domains and applications. The understanding of any class of system can be significantly changed under the assumption any system is part of a global ecosystem known as Semantic Web.The Semantic Web would be an evolving extension of current Web model (normally referred as Syntactic Web) that introduces a semantic layer in which semantics, or meaning of information, are formally defined.So, semantics should integrate web-centric standard information infrastructures improving several aspects of interaction among heterogeneous systems. This is because common interoperability models are progressively becoming obsolete if compared with the intrinsic complexity and always more distributed focus that feature modern systems. For example, the basic interoperability model, that assumes the interchange of messages among systems without any interpretation, is simple but effective only in the context of close environments. Also more advanced models, such as the functional interoperability model that integrates basic interoperability model with the ability of intepretating data context under the assumption of a shared schema for data fields accessing, appears not able to provide a full sustainable technologic support for open systems.The Semantic Interoperability model would improve common interoperability models introducing the interpretation of means of data. Semantic interoperability is a concretely applicable interaction model under the assumption of adopting rich data models (commonly called Ontology) composed of concepts within a domain and the relationships among those concepts.In practice, semantic technologies are partially inverting the common view at actor intelligence: intelligence is not implemented (only) by actors but it is implicitly resident in the knowledge model. In other words, schemas contain information and the 'code' to interpretate it.
