EBSCO Information Services has expanded its linked data initiative with new features powered by the EBSCO Scholarly Graph (ESG), a linked data framework designed to connect scholarly entities such as people, publications, and topics. ESG structures relationships across nearly 900 million entities and 3.8 billion relationships, enabling researchers to trace impact and explore the scholarly information network more intuitively.
Built from aggregated metadata and enriched with contextual relationships and standardized identifiers, ESG incorporates standardized identifiers modeled within the Builde ontology, a streamlined version of the Library of Congress’s BIBFRAME model, and provides a flexible vocabulary for describing scholarly works and relationships. The graph is updated daily to provide researchers with current information.
The first feature, Citation Discovery, is now available in EBSCO Discovery Service™(EDS) and EBSCOhost®. It allows users to track how works are cited, view references within publications, and follow the influence of scholarship over time. Future updates will introduce features such as retraction badges, enriched citation records, and People Pages that map works to their authors and co-author networks.
EBSCO stated that ESG underpins its broader goal of advancing research infrastructure, with linked data expected to provide greater transparency and efficiency in navigating scholarly publishing.
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