Biodiversity Observations Miner: A web application to unlock primary biodiversity data from published literature.

ABSTRACT:

Background

A considerable portion of primary biodiversity data is digitally locked inside published literature which is often stored as pdf files. Large-scale approaches to biodiversity science could benefit from retrieving this information and making it digitally accessible and machine-readable. Nonetheless, the amount and diversity of digitally published literature pose many challenges for knowledge discovery and retrieval. Text mining has been extensively used for data discovery tasks in large quantities of documents. However, text mining approaches for knowledge discovery and retrieval have been limited in biodiversity science compared to other disciplines.

New information

Here, we present a novel, open source text mining tool, the Biodiversity Observations Miner (BOM

SUBMITTER: Munoz G 

PROVIDER: S-EPMC6344444 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature