Semantic Web Application Development with LITEQ

  • Martin Leinberger
  • Stefan Scheglmann
  • Ralf Lämmel
  • Steffen Staab
  • Matthias Thimm
  • Evelyne Viegas
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8797)


The Semantic Web is intended as a web of machine readable data where every data source can be the data provider for different kinds of applications. However, due to a lack of support it is still cumbersome to work with RDF data in modern, object-oriented programming languages, in particular if the data source is only available through a SPARQL endpoint without further documentation or published schema information. In this setting, it is desirable to have an integrated tool-chain that helps to understand the data source during development and supports the developer in the creation of persistent data objects. To tackle these issues, we introduce LITEQ, a paradigm for integrating RDF data sources into programming languages and strongly typing the data. Additionally, we report on two use cases and show that compared to existing approaches LITEQ performs competitively according to the Halstead metric.


Resource Description Framework Description Logic Query Language SPARQL Query Triple Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Martin Leinberger
    • 1
  • Stefan Scheglmann
    • 1
  • Ralf Lämmel
    • 2
  • Steffen Staab
    • 1
  • Matthias Thimm
    • 1
  • Evelyne Viegas
    • 3
  1. 1.Institute for Web Science and TechnologiesUniversity of Koblenz-LandauGermany
  2. 2.The Software Languages TeamUniversity of Koblenz-LandauGermany
  3. 3.Microsoft Research RedmondUSA

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