The Linking Open Data (LOD) initiative has motivated numerous data providers to expose and interlink their data on the Web. But since different data providers often use different vocabularies for describing related resources, applications that consume data from the Web must first reconcile the structural and semantic heterogeneities among the data sets. As a possible solution for the representation, execution, and maintenance of mappings in the context of LOD, we propose a Web-based technique for establishing metadata interoperability. It allows for the declaration of mapping relationships between incompatible vocabularies and provides mapping features that go beyond those of existing Semantic Web languages. Further, it allows us to compile mapping specifications into executable SPARQL templates for integrating metadata from heterogeneous endpoints at run-time. With a reference implementation and a case study, we demonstrate the applicability of our proposed solution.
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Bernhard Haslhofer (Dr. techn.) is a post-doctoral researcher at the University of Vienna. He received his diploma in Economics and Computer Science (2003) and his master?s in Information and Knowledge Management (2006) from the Vienna University of Technology. In 2008 he finished his PhD in Computer Science at the University of Vienna.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Linking Open Data (LOD) initiative has motivated numerous data providers to expose and interlink their data on the Web. But since different data providers often use different vocabularies for describing related resources, applications that consume data from the Web must first reconcile the structural and semantic heterogeneities among the data sets. As a possible solution for the representation, execution, and maintenance of mappings in the context of LOD, we propose a Web-based technique for establishing metadata interoperability. It allows for the declaration of mapping relationships between incompatible vocabularies and provides mapping features that go beyond those of existing Semantic Web languages. Further, it allows us to compile mapping specifications into executable SPARQL templates for integrating metadata from heterogeneous endpoints at run-time. With a reference implementation and a case study, we demonstrate the applicability of our proposed solution. 212 pp. Deutsch. Seller Inventory # 9783838105628
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The Linking Open Data (LOD) initiative has motivated numerous data providers to expose and interlink their data on the Web. But since different data providers often use different vocabularies for describing related resources, applications that consume data . Seller Inventory # 5404949
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The Linking Open Data (LOD) initiative has motivated numerous data providers to expose and interlink their data on the Web. But since different data providers often use different vocabularies for describing related resources, applications that consume data from the Web must first reconcile the structural and semantic heterogeneities among the data sets. As a possible solution for the representation, execution, and maintenance of mappings in the context of LOD, we propose a Web-based technique for establishing metadata interoperability. It allows for the declaration of mapping relationships between incompatible vocabularies and provides mapping features that go beyond those of existing Semantic Web languages. Further, it allows us to compile mapping specifications into executable SPARQL templates for integrating metadata from heterogeneous endpoints at run-time. With a reference implementation and a case study, we demonstrate the applicability of our proposed solution.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 212 pp. Deutsch. Seller Inventory # 9783838105628
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Linking Open Data (LOD) initiative has motivated numerous data providers to expose and interlink their data on the Web. But since different data providers often use different vocabularies for describing related resources, applications that consume data from the Web must first reconcile the structural and semantic heterogeneities among the data sets. As a possible solution for the representation, execution, and maintenance of mappings in the context of LOD, we propose a Web-based technique for establishing metadata interoperability. It allows for the declaration of mapping relationships between incompatible vocabularies and provides mapping features that go beyond those of existing Semantic Web languages. Further, it allows us to compile mapping specifications into executable SPARQL templates for integrating metadata from heterogeneous endpoints at run-time. With a reference implementation and a case study, we demonstrate the applicability of our proposed solution. Seller Inventory # 9783838105628
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Taschenbuch. Condition: Neu. Mappings in the Web of Data | A Web-based Mapping Technique for Establishing Metadata Interoperability | Bernhard Haslhofer | Taschenbuch | 212 S. | Deutsch | 2009 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838105628 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101621917
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