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

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 t...

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Bibliographic Details
Main Authors: Leyla Garcia, Olga Giraldo, Alexander Garcia, Dietrich Rebholz-Schuhmann
Format: Article
Language:English
Published: Korea Genome Organization 2019-06-01
Series:Genomics & Informatics
Subjects:
Online Access:http://genominfo.org/upload/pdf/gi-2019-17-2-e14.pdf
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author Leyla Garcia
Olga Giraldo
Alexander Garcia
Dietrich Rebholz-Schuhmann
author_facet Leyla Garcia
Olga Giraldo
Alexander Garcia
Dietrich Rebholz-Schuhmann
author_sort Leyla Garcia
collection DOAJ
description 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.
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spelling doaj.art-f91af67aa6624da3aba5c0c6894ee67d2022-12-21T19:39:45ZengKorea Genome OrganizationGenomics & Informatics2234-07422019-06-0117210.5808/GI.2019.17.2.e14556Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publicationsLeyla Garcia0Olga Giraldo1Alexander Garcia2Dietrich Rebholz-Schuhmann3 EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD, UK Ontology Engineering Group, Campus de Montegancedo, Boadilla del Monte, Universidad Politécnica de Madrid, Madrid, Spain BASF SE, G-FDR/BI-G200, 67056 Ludwigshafen am Rhein, Germany ZB MED-Information Centre for Life Sciences, 50931 Köln, GermanyThe 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.http://genominfo.org/upload/pdf/gi-2019-17-2-e14.pdfbiomedical text miningliterature metadatasemantic annotationsstructured dataweb page markup
spellingShingle Leyla Garcia
Olga Giraldo
Alexander Garcia
Dietrich Rebholz-Schuhmann
Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
Genomics & Informatics
biomedical text mining
literature metadata
semantic annotations
structured data
web page markup
title Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
title_full Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
title_fullStr Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
title_full_unstemmed Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
title_short Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
title_sort biotea 2 bioschemas facilitating structured markup for semantically annotated scholarly publications
topic biomedical text mining
literature metadata
semantic annotations
structured data
web page markup
url http://genominfo.org/upload/pdf/gi-2019-17-2-e14.pdf
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