Mappings Web Data Web Based by Haslhofer Bernhard (2 results)

Author
Title
Refine with Advanced Search

Refine your search

  • Books (2)

  • New (2)

to

Custom price range (US$)

to

  • Language: English

    Published by Südwestdeutscher Verlag für Hochschulschriften, 2015

    3838105621 / 9783838105628

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

    5-star seller
    Contact seller

    Condition: New

    US$ 106.29

    US$ 80.35 shipping 
    Ships from Germany to U.S.A.

    Quantity: 5 available

    Taschenbuch. Condition: Neu. Mappings in the Web of Data | A Web-based Mapping Technique for Establishing Metadata Interoperability | Bernhard Haslhofer | Taschenbuch | 212 S. | Deutsch | 2015 | 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.

  • Language: English

    Published by Südwestdeutscher Verlag Für Hochschulschriften, 2009

    3838105621 / 9783838105628

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

    5-star seller
    Contact seller

    Condition: New

    US$ 106.29

    US$ 70.79 shipping 
    Ships from Germany to U.S.A.

    Quantity: 1 available

    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.