SPARQ\(\lambda \): A Functional Perspective on Linked Data Services

  • Christian VogelgesangEmail author
  • Torsten Spieldenner
  • René Schubotz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11341)


With more and more applications providing semantic data to improve interoperability, the amount of available RDF datasets is constantly increasing. The SPARQL query language is a W3C recommendation to provide query capabilities on such RDF datasets. Data integration from different RDF sources is up to now mostly task of RDF consuming clients. However, from a functional perspective, data integration boils down to a function application that consumes input data as parameters, and based on these, produces a new set of data as output. Following this notion, we introduce SPARQ\(\lambda \), an extension to the SPARQL 1.1 query language. SPARQ\(\lambda \) enables dynamic injection of RDF datasets during evaluation of the query, and by this lifts SPARQL to a tool to write templates for RDF producing functions, an important step to reduce the effort to write SPARQL queries that work on data from various sources. SPARQ\(\lambda \) is moreover suitable to directly translate to an RDF described Web service interface, which allows to lift integration of data and re-provisioning of integrated results from clients to cloud environments, and by this solving the bottleneck of RDF data integration on client side.


SPARQL Data integration RDF Functional programming 



This work is supported by the Federal Ministry of Education and Research of Germany in the project Hybr-iT (Förderkennzeichen 01IS16026A).


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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Christian Vogelgesang
    • 1
    Email author
  • Torsten Spieldenner
    • 1
  • René Schubotz
    • 1
  1. 1.Saarbrücken Graduate School of Computer ScienceGerman Research Center for Artifical Intelligence (DFKI)SaarbrückenGermany

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