Reproduce “BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs” on OpenResearch
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About this paper
Jackson Callaghan, Colleen H. Xu, Jiwen Xin, Marco Alvarado Cano, Anders Riutta, Eric Zhou, Rohan Juneja, Yao Yao and 6 more
BioThings Explorer offers a query engine that facilitates federated knowledge graph querying by semantically annotating existing biomedical APIs. It enables users to execute complex multi-hop queries across diverse data sources through automated API orchestration and identifier translation.
Key insights
- Semantic annotation of existing APIs enables interoperability and federated knowledge graph functionality without requiring centralized data storage or forced API standardization.
- A meta-knowledge graph, derived from API annotations, can effectively guide a query engine to dynamically construct and execute complex, multi-step queries across distributed data sources.
- Retrieving data dynamically at query time from source APIs ensures access to the most current information, addressing data staleness inherent in many static, centralized knowledge graphs.
Summary by alphaXiv.
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