IMCE

Document Analyzer Using LLM

Published: April 12, 2024

Maged Elaasar

IMCE Chief Architect (Project Lead)

NASA Jet Propulsion Laboratory

View Profile
Document Analyzer Using LLM feature image
Photo Credit: Jet Propulsion Laboratory

Project Summary

This project intends to develop an approach to use an LLM to extract information in a (PDF) document to a Knowledge Graph (KG) and organize it based on an domain vocabulary (ontology) such that it can be curated and queried more precisely with SPARQL.

Results

We are proud to report that this project has won a team award from JPL.

Document Analyzer Award

Click on the Slideshow button below to see the result in a slide deck:

Project Team

  • Maged Elaasar, JPL/Modelware, co-I
  • Kelli McCoy, JPL, co-I
  • Patric Bjornstadt, JPL
  • Mahmudur Khan, JPL
  • Kareem Elaasar, student, Modelware
  • Namrata Acharya, student, Modelware

Sponsors

Modelware

Published: April 12, 2024

Maged Elaasar

IMCE Chief Architect (Project Lead)

NASA Jet Propulsion Laboratory

View Profile

More from the openCAESAR Community

June 01, 2020

Deep Learning for COVID-19

Hadeel El-Kassabi

Read Mores

March 29, 2024

OWL to OML

Maged Elaasar

Read Mores

February 01, 2025

OML Code

Maged Elaasar

Read Mores

© 2025 California Institute of Technology. Government sponsorship acknowledged.