Building a PubMed Knowledge Graph
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PubMed is an important resource for the medical domain, but useful concepts cannot be easily extracted from it or are disambiguated, which has significantly hindered the knowledge discovery. We developed a solution by constructing a PubMed knowledge graph (PKG), where we extracted bio-entities from 29 million PubMed articles, disambiguated author names, integrated funding data through NIH ExPORTER, affiliation history and educational background of authors from ORCID, and fine-grained affiliation data from MapAffil. By integrating the credible multi-source data, we could create connections among the bio-entities, authors, articles, affiliations, and fundings.