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Proceedings of the Association for Information Science and Technology, 2023
We propose a bottom‐up, data‐driven pipeline to uncover the structure of biodiversity subject metadata using a combination of text mining approaches. In this study, we analyze 721,035 subject terms in the Biodiversity Heritage Library (BHL).
Yi‐Yun Cheng +2 more
semanticscholar +1 more source
We propose a bottom‐up, data‐driven pipeline to uncover the structure of biodiversity subject metadata using a combination of text mining approaches. In this study, we analyze 721,035 subject terms in the Biodiversity Heritage Library (BHL).
Yi‐Yun Cheng +2 more
semanticscholar +1 more source
Kew Museum of Economic Botany: School Letters, Vol 1, 1877-1894
, 2019F. Driver
semanticscholar +1 more source
Kew Museum of Economic Botany: Record of Specimens Distributed 1901-1990
, 2019F. Driver
semanticscholar +1 more source
Cacao, Cocao, or Cocoa?: Reconciliation of Taxonomic Names in Biodiversity Heritage Library
, 2020Yi-Yun Cheng +2 more
semanticscholar +1 more source
Protecting the global ocean for biodiversity, food and climate
Nature, 2021Audra Hinson +2 more
exaly