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RDF Frameworks for Extensible Data Ingestion and Porting

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presentation
posted on 03.11.2022, 21:17 authored by Dom JebbiaDom Jebbia, Xiaojun Wang, Yasin Bakis, Henry L. Bart Jr.

A presentation at the the Ohio State University Imageomics Institute. The work describes collaboration between Drexel University’s Metadata Research Center and the Tulane University Biodiversity Research Institute to redesign database structures and computational workflows for the NSF supported Harnessing the Data Revolution, Biology Guided Neural Networks (HDR-BGNN) project. The   work makes database management easier and improves computationally derived metadata for over 300,000 fish specimen images. This work provides proof-of-concept for resource description framework (RDF) in metadata pipelines for other members of the Imagenomics Institute.

Funding

Biology-guided Neural Networks for Discovering Phenotypic Traits

Directorate for Computer & Information Science & Engineering

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1940322m

HDR Institute: Imageomics: A New Frontier of Biological Information Powered by Knowledge-Guided Machine Learning

Directorate for Computer & Information Science & Engineering

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Institute of Museum and Library Services (IMLS) RE-246450-OLS-20

History

Date

31/10/2022