التفاصيل البيبلوغرافية
العنوان: |
Landscape Analysis for the Specimen Data Refinery. |
المؤلفون: |
Walton, Stephanie, Livermore, Laurence, Bánki, Olaf, Cubey, Robert W. N., Drinkwater, Robyn, Englund, Markus, Goble, Carole, Groom, Quentin, Kermorvant, Christopher, Rey, Isabel, Santos, Celia M., Scott, Ben, Williams, Alan R., Zhengzhe Wu |
المصدر: |
Research Ideas & Outcome Journal; 8/14/2020, Vol. 6, p1-25, 25p |
مصطلحات موضوعية: |
NATURAL history, MACHINE learning, COMPUTER software development, WORKFLOW management, INFORMATION technology |
مستخلص: |
This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens and their labels. We consider the potential for repurposing existing tools, including workflow management systems; and areas where more development is required. This paper was written as part of the SYNTHESYS+ project for software development teams and informatics teams working on new software-based approaches to improve mass digitisation of natural history specimens. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |