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PloverDB: a high-performance platform for serving biomedical knowledge graphs as standards-compliant web APIs.

Amy K Glen1, Eric W Deutsch2, Stephen A Ramsey1,3

  • 1School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, United States.

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Summary
This summary is machine-generated.

PloverDB is a new software platform that makes biomedical knowledge graphs easier to access and use. It helps integrate diverse data, ensuring compliance with standards for better interoperability and efficient querying.

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Area of Science:

  • Biomedical Informatics
  • Data Integration
  • Knowledge Representation

Background:

  • Biomedical knowledge graphs integrate diverse data but face challenges with general-purpose databases.
  • Lack of standards compliance and reasoning in existing tools hinders interoperability.

Purpose of the Study:

  • To present PloverDB, a software platform for hosting and serving biomedical knowledge graphs.
  • To enable standards-compliant web APIs for efficient data access and reasoning.

Main Methods:

  • Developed PloverDB as a comprehensive software platform.
  • Integrated entity resolution, standardized metadata exposure, and knowledge graph multiplexing.
  • Designed for efficient query answering and ease of deployment.

Main Results:

  • PloverDB automatically handles key knowledge graph tasks.
  • Enables data providers to quickly serve standards-compliant web services.
  • Increases accessibility and utility of biomedical knowledge graphs.

Conclusions:

  • PloverDB facilitates the integration and accessibility of biomedical knowledge graphs.
  • It promotes interoperability through standards compliance and efficient serving.
  • The platform simplifies deployment and enhances data utility for researchers.