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/10.25968/opus-1208 |
| DOI original: | 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 |
| Publishing Institution: | Hochschule Hannover |
| Release Date: | 2018/03/27 |
| Tag: | Image Retrieval |
| GND Keyword: | Open Access; Bildersuchmaschine |
| 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: | Fakultät III - Medien, Information und Design |
| DDC classes: | 020 Bibliotheks- und Informationswissenschaft |
| Licence (German): |  Urheberrechtlich geschützt |
