A Comparison of Federation over SPARQL Endpoints Frameworks

The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by research results from traditional distributed databases, different approaches for m...

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Bibliographic Details
Published inKnowledge Engineering and the Semantic Web pp. 132 - 146
Main Authors Rakhmawati, Nur Aini, Umbrich, Jürgen, Karnstedt, Marcel, Hasnain, Ali, Hausenblas, Michael
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
Subjects
Data Catalogue
Query Execution
Query Processing
Resource Description Framework
Sparql Query
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Summary:The increasing amount of Linked Data and its inherent distributed nature have attracted significant attention throughout the research community and amongst practitioners to search data, in the past years. Inspired by research results from traditional distributed databases, different approaches for managing federation over SPARQL Endpoints have been introduced. SPARQL is the standardised query language for RDF, the default data model used in Linked Data deployments and SPARQL Endpoints are a popular access mechanism provided by many Linked Open Data (LOD) repositories. In this paper, we initially give an overview of the federation framework infrastructure and then proceed with a comparison of existing SPARQL federation frameworks. Finally, we highlight shortcomings in existing frameworks, which we hope helps spawning new research directions.
ISBN:9783642413599
3642413595
ISSN:1865-0929
1865-0937
DOI:10.1007/978-3-642-41360-5_11