Human Reference Atlas Knowledge Graph for Linked Open Data
Author Information
Author(s): Bueckle Andreas, Herr Bruce W. II, Hardi Josef, Quardokus Ellen M., Musen Mark A., Börner Katy
Primary Institution: Indiana University, Bloomington, IN, USA
Conclusion
The Human Reference Atlas Knowledge Graph (HRA KG) provides a comprehensive resource for integrating and querying biological data across various scales and types.
Supporting Evidence
- The HRA KG integrates data from 71 organs and over 10 million nodes.
- It supports cross-scale biological queries using SPARQL.
- The HRA KG is designed to be flexible and extensible for future data types.
- Data is made available as Linked Open Data to enhance accessibility and usability.
Takeaway
The Human Reference Atlas is like a big map of the human body that helps scientists understand how different parts work together. It uses special data to connect information about organs, cells, and proteins.
Methodology
The HRA KG was constructed using data from over 20 consortia, integrating various biological datasets and employing Linked Open Data principles for deployment.
Limitations
The construction process is partially manual, and there are challenges in automating data collection and ensuring all terms are standardized across ontologies.
Digital Object Identifier (DOI)
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