Actions
shareshare link cite add Please grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
See an issue? Give us feedback
Please grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Research data . Dataset . 2020
Supplementary material 1 from: Walton S, Livermore L, Bánki O, Cubey RWN, Drinkwater R, Englund M, Goble C, Groom Q, Kermorvant C, Rey I, Santos CM, Scott B, Williams AR, Wu Z (2020) Landscape Analysis for the Specimen Data Refinery. Research Ideas and Outcomes 6: e57602. https://doi.org/10.3897/rio.6.e57602
Walton, Stephanie; Livermore, Laurence; Bánki, Olaf; Cubey, Robert; Drinkwater, Robyn; Englund, Markus; Goble, Carole; +7 Authors
Walton, Stephanie; Livermore, Laurence; Bánki, Olaf; Cubey, Robert; Drinkwater, Robyn; Englund, Markus; Goble, Carole; Groom, Quentin; Kermorvant, Christopher; Rey, Isabel; Santos, Celia; Scott, Ben; Williams, Alan; Wu, Zhengzhe;
Open Access
Published: 22 Aug 2020
Publisher: Zenodo
Abstract
Tools and services evaluation speadsheet
Subjects
machine learning, natural language processing, natural history specimens, data refinery, data reconciliation, semantic segmentation, digitisation, linked open data, workflow management, collections digitisation
machine learning, natural language processing, natural history specimens, data refinery, data reconciliation, semantic segmentation, digitisation, linked open data, workflow management, collections digitisation
All relations
4 Research products, page 1 of 1
- 2020 . IsAmongTopNSimilarDocuments
- 2020 . IsAmongTopNSimilarDocuments
- 2020 . IsAmongTopNSimilarDocuments
See an issue? Give us feedback
Funded by
EC| SYNTHESYS PLUS
Project
SYNTHESYS PLUS
Synthesis of systematic resources
- Funder: European Commission (EC)
- Project Code: 823827
- Funding stream: H2020 | RIA
Related to Research communities
Rural Digital Europe
Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.
Tools and services evaluation speadsheet