Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
- Author:
Leyla GARCIA
1
;
Olga GIRALDO
;
Alexander GARCIA
;
Dietrich REBHOLZ-SCHUHMANN
Author Information
- Publication Type:Note
- Keywords: biomedical text mining; literature metadata; semantic annotations; structured data; web page markup
- MeSH: Biological Science Disciplines; Search Engine; Semantics
- From:Genomics & Informatics 2019;17(2):e14-
- CountryRepublic of Korea
- Language:English
- 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.
