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Survey of Semantic Description of REST APIs

  • Ruben Verborgh
  • Andreas Harth
  • Maria Maleshkova
  • Steffen Stadtmüller
  • Thomas Steiner
  • Mohsen Taheriyan
  • Rik Van de Walle

Abstract

The REST architectural style assumes that client and server form a contract with content negotiation, not only on the data format but implicitly also on the semantics of the communicated data, i.e., an agreement on how the data have to be interpreted [247]. In different application scenarios such an agreement requires vendor-specific content types for the individual services to convey the meaning of the communicated data. The idea behind vendor-specific content types is that service providers can reuse content types and service consumers can make use of specific processors for the individual content types. In practice however, we see that many RESTful APIs on the Web simply make use of standard non-specific content types, e.g., text/xml or application/json [150]. Since the agreement on the semantics is only implicit, programmers developing client applications have to manually gain a deep understanding of several APIs from multiple providers.

Keywords

Domain Ontology Service Description Graph Pattern Semantic Description Post Request 
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.

Notes

Acknowledgments

R. Verborgh and R. Van de Walle are funded by Ghent University, the Interdisciplinary Institute for Broadband Technology (iMinds), the Institute for the Promotion of Innovation by Science and Technology in Flanders (iwt), the Fund for Scientific Research Flanders (fwo Flanders), and the European Union. A. Harth and S. Speiser acknowledge the support of the European Commission’s Seventh Framework Programme FP7/2007-2013 (PlanetData, Grant 257641). S. Stadtmüller has been supported by a Software Campus grant.

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ruben Verborgh
    • 1
  • Andreas Harth
    • 2
  • Maria Maleshkova
    • 2
  • Steffen Stadtmüller
    • 2
  • Thomas Steiner
    • 3
  • Mohsen Taheriyan
    • 4
  • Rik Van de Walle
    • 5
  1. 1.Multimedia Lab – Ghent University – iMindsLedeberg-GhentBelgium
  2. 2.Institute AIFBKarlsruhe Institute of Technology (KIT)KarlsruheGermany
  3. 3.Departament de Llenguatges i Sistemes InformaticsUniversitat Politècnica de CatalunyaBarcelonaSpain
  4. 4.Information Science InstituteUniversity of Southern CaliforniaMarina del ReyUSA
  5. 5.Multimedia Lab – Ghent University – iMindsLedeberg- GhentBelgium

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