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

  • 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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Author:Jean CharbonnierORCiD, Lucia SohmenORCiD, John Rothman, Birte Rohden, Christian WartenaORCiDGND
URN:urn:nbn:de:bsz:960-opus4-12086
URL:https://link.springer.com/chapter/10.1007/978-3-319-76941-7_78
DOI:https://doi.org/10.1007/978-3-319-76941-7_78
Parent Title (English):ECIR 2018: Advances in Information Retrieval
Publisher:Springer
Document Type:Conference Proceeding
Language:English
Year of Completion:2018
Release Date:2018/03/27
Tag:Image Retrieval
GND Keyword:Bildersuchmaschine; Open Access
First Page:797
Last Page:800
Note:
The final publication is available at Springer via https://doi.org/10.1007/978-3-319-76941-7_78
Link to catalogue:1022326279
Institutes:Fakult├Ąt III - Medien, Information und Design
Dewey Decimal Classification:020 Bibliotheks- und Informationswissenschaft
Licence (German):License LogoHinweis zum Urheberrecht