Format

Send to

Choose Destination
Genomics Inform. 2019 Jun;17(2):e14. doi: 10.5808/GI.2019.17.2.e14. Epub 2019 Jun 19.

Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications.

Author information

1
EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
2
ELIXIR Hub, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
3
Ontology Engineering Group, Campus de Montegancedo, Boadilla del Monte, Universidad Politécnica de Madrid, Madrid, Spain.
4
BASF SE, G-FDR/BI-G200, 67056 Ludwigshafen am Rhein, Germany.
5
ZB MED-Information Centre for Life Sciences, 50931 Köln, Germany.

Abstract

The total number of scholarly publications grows day by day, making it necessary to explore and use simple yet effective ways to expose their metadata. Schema.org supports adding structured metadata to web pages via markup, making it easier for data providers but also for search engines to provide the right search results. Bioschemas is based on the standards of schema.org, providing new types, properties and guidelines for metadata, i.e., providing metadata profiles tailored to the Life Sciences domain. Here we present our proposed contribution to Bioschemas (from the project "Biotea"), which supports metadata contributions for scholarly publications via profiles and web components. Biotea comprises a semantic model to represent publications together with annotated elements recognized from the scientific text; our Biotea model has been mapped to schema.org following Bioschemas standards.

KEYWORDS:

biomedical text mining; literature metadata; semantic annotations; structured data; web page markup

PMID:
31307129
DOI:
10.5808/GI.2019.17.2.e14
Free full text

Supplemental Content

Full text links

Icon for Publishing M2Community
Loading ...
Support Center