@inproceedings{CharbonnierSohmenRothmanetal.2018, author = {Jean Charbonnier and Lucia Sohmen and John Rothman and Birte Rohden and Christian Wartena}, title = {NOA: A Search Engine for Reusable Scientific Images Beyond the Life Sciences}, series = {ECIR 2018: Advances in Information Retrieval}, publisher = {Springer}, doi = {10.25968/opus-1208}, url = {http://nbn-resolving.de/urn:nbn:de:bsz:960-opus4-12086}, pages = {797 -- 800}, year = {2018}, 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.}, language = {en} }