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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Korea Genome Organization
2019-06-01
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Series: | Genomics & Informatics |
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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. |
first_indexed | 2024-12-20T13:08:20Z |
format | Article |
id | doaj.art-f91af67aa6624da3aba5c0c6894ee67d |
institution | Directory Open Access Journal |
issn | 2234-0742 |
language | English |
last_indexed | 2024-12-20T13:08:20Z |
publishDate | 2019-06-01 |
publisher | Korea Genome Organization |
record_format | Article |
series | Genomics & Informatics |
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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