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Rapid Deployment of a RESTful Service for Data Collected by Oceanographic Research Cruises

  • Linyun Fu
  • Robert A. Arko
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8798)

Abstract

The Rolling Deck to Repository (R2R) program has the mission to capture, catalog, and describe the underway environmental sensor data from US oceanographic research vessels and submit the data to public long-term archives. Information about vessels, sensors, cruises, datasets, people, organizations, funding awards, logs, reports, etc. is published online as Linked Open Data, accessible through a SPARQL endpoint. In response to user feedback, we are developing a RESTful service based on the Elda open-source Java package to facilitate data access. Our experience shows that constructing a simple portal with limited schema elements in this way can significantly reduce development time and maintenance complexity compared to PHP or Servlet based approaches.

Keywords

Configuration File SPARQL Query Link Open Data Triple Store RESTful Service 
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

Acknowledgements

This research is funded by the U.S. National Science Foundation via the Rolling Deck to Repository (R2R) program and the Ocean Data Interoperability Platform (ODIP), working collaboratively with the U.S. University-National Oceanographic Laboratory System (UNOLS) Office.

References

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Tetherless World ConstellationRensselaer Polytechnic InstituteTroyUSA
  2. 2.Lamont-Doherty Earth ObservatoryColumbia UniversityPalisadesUSA

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