biotea: semantics for pubmed central

Clicks: 250
ID: 232010
2018
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Abstract
A significant portion of biomedical literature is represented in a manner that makes it difficult for consumers to find or aggregate content through a computational query. One approach to facilitate reuse of the scientific literature is to structure this information as linked data using standardized web technologies. In this paper we present the second version of Biotea, a semantic, linked data version of the open-access subset of PubMed Central that has been enhanced with specialized annotation pipelines that uses existing infrastructure from the National Center for Biomedical Ontology. We expose our models, services, software and datasets. Our infrastructure enables manual and semi-automatic annotation, resulting data are represented as RDF-based linked data and can be readily queried using the SPARQL query language. We illustrate the utility of our system with several use cases. Our datasets, methods and techniques are available at http://biotea.github.io.
Reference Key
garcia2018peerjbiotea: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Alexander Garcia;Federico Lopez;Leyla Garcia;Olga Giraldo;Victor Bucheli;Michel Dumontier
Journal pediatrics
Year 2018
DOI
10.7717/peerj.4201
URL
https://peerj.com/articles/4201/
Keywords
linked data semantic web ontology

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