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Time to kick-start text mining for biomaterials

Nature Reviews Materials volume 5, pages 553–556 (2020)Cite this article

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An Author Correction to this article was published on 22 March 2021

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The rapidly expanding biomaterials data are challenging to organize. Text mining systems are powerful tools that automatically extract and integrate information in large textual collections. As text mining leaps forward by leveraging deep-learning approaches, it is time to address the most pressing biomaterials information and data processing needs.

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Acknowledgements

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 751277 and from Plan TL Encargo project of the BSC.

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Authors and Affiliations

  1. Universitat Politecnica de Catalunya, Department of Materials Science and Engineering, Barcelona, Spain

    Osnat Hakimi & Maria-Pau Ginebra

  2. Barcelona Supercomputing Center, Barcelona, Spain

    Osnat Hakimi & Martin Krallinger

  3. Barcelona Institute of Technology, Institute for Bioengineering of Catalonia, Barcelona, Spain

    Maria-Pau Ginebra

Authors
  1. Osnat Hakimi
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  2. Martin Krallinger
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  3. Maria-Pau Ginebra
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All authors contributed to the preparation of the manuscript

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Correspondence to Osnat Hakimi.

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The authors declare no competing interests.

Additional information

Related links

BCTEO: bioportal.bioontology.org/ontologies/BCTEO

BioBERT: https://github.com/dmis-lab/biobert

cBiT: cbit.bmt.tue.nl/biomaterial/browse

ChemSpot: informatik.hu-berlin.de/de/forschung/gebiete/wbi/resources/chemspot

DEB: https://github.com/ProjectDebbie/Ontology_DEB

DEBBIE: https://github.com/ProjectDebbie

European Materials Modelling Council: https://emmc.eu/

GMDN: gmdnagency.org

GO: http://geneontology.org/

MetaMap: metamap.nlm.nih.gov/

NPO: bioportal.bioontology.org/ontologies/NPO

SciBERT: https://github.com/allenai/scibert

SNOMED-CT: snomed.org

TaggerOne: ncbi.nlm.nih.gov/research/bionlp/tools/taggerone/

UMLS: https://uts.nlm.nih.gov/home.html

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Hakimi, O., Krallinger, M. & Ginebra, MP. Time to kick-start text mining for biomaterials. Nat Rev Mater 5, 553–556 (2020). https://doi.org/10.1038/s41578-020-0215-z

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