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

被引:5
作者
Charbonnier, Jean [1 ]
Sohmen, Lucia [2 ]
Rothman, John [1 ]
Rohden, Birte [1 ]
Wartena, Christian [1 ]
机构
[1] Hsch Hannover, Expo Plaza 12, D-30539 Hannover, Germany
[2] Tech Informat Bibliothek, Welfengarten 1B, D-30167 Hannover, Germany
来源
ADVANCES IN INFORMATION RETRIEVAL (ECIR 2018) | 2018年 / 10772卷
关键词
Open access; Image retrieval; CLASSIFICATION;
D O I
10.1007/978-3-319-76941-7_78
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:797 / 800
页数:4
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