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

By Jean Charbonnier, Lucia Sohmen, John Rothman, Birte Rohden and Christian Wartena

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

Topics: Open Access, Bildersuchmaschine, ddc:020
Publisher: 'Springer Fachmedien Wiesbaden GmbH'
Year: 2018
DOI identifier: 10.1007/978-3-319-76941-7_78
OAI identifier: oai:serwiss.opus4:1208

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