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NOA: A Search Engine for Reusable Scientific Images Beyond the Life Sciences

  • Jean Charbonnier
  • Lucia Sohmen
  • John Rothman
  • Birte Rohden
  • Christian Wartena
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10772)

Abstract

NOA is a search engine for scientific images from open access publications based on full text indexing of all text referring to the images and filtering for disciplines and image type. Images will be annotated with Wikipedia categories for better discoverability and for uploading to WikiCommons. Currently we have indexed approximately 2,7 Million images from over 710 000 scientific papers from all fields of science.

Keywords

Open access Image retrieval 

Notes

Acknowledgements

We would like to thank Frieda Josi, Lambert Heller, Ina Blümel for many helpful comments. This research was funded by the DFG under grant no. WA 1506/4-1.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Hochschule HannoverHannoverGermany
  2. 2.Technische InformationsbibliothekHannoverGermany

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