Affiliation:
1. National Center for Biotechnology Information (NCBI), U.S. Library of Medicine (NLM), National Institutes of Health (NIH), Bethesda, MD, USA
Abstract
Abstract
Motivation
Interest in text mining full-text biomedical research articles is growing. To facilitate automated processing of nearly 3 million full-text articles (in PubMed Central® Open Access and Author Manuscript subsets) and to improve interoperability, we convert these articles to BioC, a community-driven simple data structure in either XML or JavaScript Object Notation format for conveniently sharing text and annotations.
Results
The resultant articles can be downloaded via both File Transfer Protocol for bulk access and a Web API for updates or a more focused collection. Since the availability of the Web API in 2017, our BioC collection has been widely used by the research community.
Availability and implementation
https://www.ncbi.nlm.nih.gov/research/bionlp/APIs/BioC-PMC/.
Funder
Intramural Research Program
National Institutes of Health
National Library of Medicine
Publisher
Oxford University Press (OUP)
Subject
Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability
Cited by
57 articles.
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