Oak Ridge Graph Analytics for Medical Innovation (ORiGAMI)
In this era of data-driven decisions and discovery where Big Data is producing Bigger Data, data scientists at the Oak Ridge National Laboratory are leveraging unique leadership infrastructure (e.g., Urika XA and Urika GD appliances) to develop scalable algorithms for semantic, logical and statistical reasoning with Big Data (i.e., data stored in databases as well as unstructured data in documents). ORiGAMI is a next-generation knowledge-discovery framework that is: (a) knowledge nurturing (i.e., evolves seamlessly with newer knowledge and data), (b) smart and curious (i.e. using information-foraging and reasoning algorithms to digest content) and (c) synergistic (i.e., interfaces computers with what they do best to help subject-matter-experts do their best. ORiGAMI has been demonstrated using the National Library of Medicine's SEMANTIC MEDLINE (archive of medical knowledge since 1994).
- Short Name / Acronym:
- ORiGAMI; 005124WKSTN00
- Version:
- 00
- Programming Language(s):
- Medium: X; OS: LINUX
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE
- Contributing Organization:
- Larry W. Roberts, Sreenivas R. Sukumar, Sangkeun (Matt) Lee, Aleksandra Zakrzewska, Katherine Senter, and Jeffrey Graves. I do not have the email addresses for anyone other than Larry Roberts and Sangkeun Lee.
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1340289
- Country of Origin:
- United States
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