Integrating Linked Data and Services with Linked Data Services

  • Sebastian Speiser
  • Andreas Harth
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6643)


A sizable amount of data on the Web is currently available via Web APIs that expose data in formats such as JSON or XML. Combining data from different APIs and data sources requires glue code which is typically not shared and hence not reused. We propose Linked Data Services (LIDS), a general, formalised approach for integrating data-providing services with Linked Data, a popular mechanism for data publishing which facilitates data integration and allows for decentralised publishing. We present conventions for service access interfaces that conform to Linked Data principles, and an abstract lightweight service description formalism. We develop algorithms that use LIDS descriptions to automatically create links between services and existing data sets. To evaluate our approach, we realise LIDS wrappers and LIDS descriptions for existing services and measure performance and effectiveness of an automatic interlinking algorithm over multiple billions of triples.


Resource Description Framework Link Data Conjunctive Query Triple Pattern Resource Description Framework Graph 
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-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Sebastian Speiser
    • 1
  • Andreas Harth
    • 1
  1. 1.Institute AIFBKarlsruhe Institute of Technology (KIT)Germany

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