Verlag: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3836451670 ISBN 13: 9783836451673
Sprache: Englisch
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Verlag: VDM Verlag Dr. Mueller E.K., 2007
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Taschenbuch. Zustand: Neu. Incorporating Relational Data into the Semantic Web | From Databases to RDF using [.] | Cristian Pérez de Laborda Schwankhart | Taschenbuch | 164 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639427981 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Verlag: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3836451670 ISBN 13: 9783836451673
Sprache: Englisch
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Verlag: VDM Verlag Dr. Mueller E.K., 2007
ISBN 10: 3836451670 ISBN 13: 9783836451673
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Verlag: AV Akademikerverlag Jun 2012, 2012
ISBN 10: 363942798X ISBN 13: 9783639427981
Sprache: Englisch
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. Relational.OWL is a technique to automatically convert a relational database into a Semantic Web representation, enabling Semantic Web applications to access data actually stored in relational databases using their own built-in functionality. Since this representation does not result in objects containing real semantics, we additionally show how to create mappings from the rela tional model to a target ontology using an arbitrary closed RDF query language. Using current Semantic Web techniques, a formerly relational data item, once converted to its Semantic Web representation, can neither be identified unambiguously, nor be backtracked to its original storage location in the relational database. We hence introduce a novel URI scheme for identifying not only databases, but also their schema and data components like tables or columns, giving us the possibility to specify the exact and identifying storage location of any data item in its original data source. 164 pp. Englisch.
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Verlag: AV Akademikerverlag Jun 2012, 2012
ISBN 10: 363942798X ISBN 13: 9783639427981
Sprache: Englisch
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. Relational.OWL is a technique to automatically convert a relational database into a Semantic Web representation, enabling Semantic Web applications to access data actually stored in relational databases using their own built-in functionality. Since this representation does not result in objects containing real semantics, we additionally show how to create mappings from the relational model to a target ontology using an arbitrary closed RDF query language. Using current Semantic Web techniques, a formerly relational data item, once converted to its Semantic Web representation, can neither be identified unambiguously, nor be backtracked to its original storage location in the relational database. We hence introduce a novel URI scheme for identifying not only databases, but also their schema and data components like tables or columns, giving us the possibility to specify the exact and identifying storage location of any data item in its original data source.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. Relational.OWL is a technique to automatically convert a relational database into a Semantic Web representation, enabling Semantic Web applications to access data actually stored in relational databases using their own built-in functionality. Since this representation does not result in objects containing real semantics, we additionally show how to create mappings from the rela tional model to a target ontology using an arbitrary closed RDF query language. Using current Semantic Web techniques, a formerly relational data item, once converted to its Semantic Web representation, can neither be identified unambiguously, nor be backtracked to its original storage location in the relational database. We hence introduce a novel URI scheme for identifying not only databases, but also their schema and data components like tables or columns, giving us the possibility to specify the exact and identifying storage location of any data item in its original data source.