TY - CHAP U1 - Konferenzveröffentlichung A1 - Josi, Frieda A1 - Wartena, Christian A1 - Charbonnier, Jean T1 - Text-based annotation of scientific images using Wikimedia categories T2 - Elloumi M. et al. (eds): Database and Expert Systems Applications. DEXA 2018. Communications in Computer and Information Science, vol. 903 N2 - The reuse of scientific raw data is a key demand of Open Science. In the project NOA we foster reuse of scientific images by collecting and uploading them to Wikimedia Commons. In this paper we present a text-based annotation method that proposes Wikipedia categories for open access images. The assigned categories can be used for image retrieval or to upload images to Wikimedia Commons. The annotation basically consists of two phases: extracting salient keywords and mapping these keywords to categories. The results are evaluated on a small record of open access images that were manually annotated. KW - Scientific image search KW - Text annotation KW - Wikipedia categories Y1 - 2018 UN - https://nbn-resolving.org/urn:nbn:de:bsz:960-opus4-12488 SN - 978-3-319-99132-0 SB - 978-3-319-99132-0 SN - 978-3-319-99133-7 SB - 978-3-319-99133-7 U6 - https://doi.org/10.25968/opus-1248 DO - https://doi.org/10.25968/opus-1248 N1 - The final authenticated version is available online at https://doi.org/10.1007/978-3-319-99133-7_20 SP - 243 EP - 253 PB - Springer CY - Cham ER -