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Biotea-2-Bioschemas, facilitating structured markup for semantically annotated scholarly publications
Leyla Garcia1,2, Olga Giraldo3, Alexander Garcia4
1EMBL-EBI, Wellcome Genome Campus, Hinxton, CB10 1SD, UK.
Genomics & Informatics
|July 16, 2019
Summary
Scholarly publication metadata can be improved using Bioschemas, which builds on Schema.org standards. The Biotea project offers a semantic model and web components to enhance publication metadata for better discoverability.
Area of Science:
- Life Sciences
- Biotechnology
- Scholarly Communication
Background:
- The increasing volume of scholarly publications necessitates efficient metadata exposure.
- Schema.org provides structured metadata for web pages, aiding data providers and search engines.
- Bioschemas extends Schema.org with domain-specific profiles for the Life Sciences.
Purpose of the Study:
- To present the Biotea project's contribution to Bioschemas for scholarly publication metadata.
- To introduce a semantic model for representing publications and annotated elements.
- To demonstrate mapping the Biotea model to Schema.org following Bioschemas standards.
Main Methods:
- Developing a semantic model for publications and annotated elements.
- Creating profiles and web components for metadata contribution.
- Mapping the Biotea model to Schema.org according to Bioschemas guidelines.
Main Results:
- A proposed contribution to Bioschemas from the Biotea project.
- A semantic model capable of representing publications and their annotated elements.
- Successful mapping of the Biotea model to Schema.org, adhering to Bioschemas standards.
Conclusions:
- The Biotea project enhances scholarly publication metadata through Bioschemas standards.
- Structured metadata improves data accessibility and search engine visibility.
- This work facilitates better integration of Life Sciences publications into the semantic web.
Keywords:
biomedical text miningliterature metadatasemantic annotationsstructured dataweb page markupMore Related Videos
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