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.
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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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Charbonnier, J., Sohmen, L., Rothman, J., Rohden, B., Wartena, C. (2018). NOA: A Search Engine for Reusable Scientific Images Beyond the Life Sciences. In: Pasi, G., Piwowarski, B., Azzopardi, L., Hanbury, A. (eds) Advances in Information Retrieval. ECIR 2018. Lecture Notes in Computer Science(), vol 10772. Springer, Cham. https://doi.org/10.1007/978-3-319-76941-7_78
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