SAS founded in 2013 in Paris | http://linkurio.us | @linkurious
How NASA
experiments with
knowledge discovery
Graph visualization and analysis startup founded in 2013.
40+ clients in 20+ countries (NASA, Cisco, French Ministry of Finances).
Linkurious Enterprise and Linkurious SDK.
Who we are
PUBLIC DATA INTERNAL DATA
PROPRIETARY DATA
Companies painfully connect the dots in complex data
?
But non-technical analysts cannot find key connections
BUSINESS ANALYSTS
We’ve solved this
problem for the...
FIND INSIGHTS IN CONNECTED DATA
Linkurious Enterprise helps analysts
What a fraud ring looks like
NASA:
How to provide efficient
access to critical data?
NASA: How to provide efficient access to critical data?
Problem
Leverage an existing lessons learned database to improve
the success of projects.
Benefit
More natural way to search content results in better insights derived from data.
Background
NASA is the United States government agency responsible for the civilian
space program.
Public database of lessons learned - llis.nasa.gov
Example of a lesson
Search engines are not efficient
David Meza,
Chief Knowledge Architect
A project engineer asked me if we could search our lessons learned using a list of 22 key terms the team was interested in. Our current keyword search
engine would require him to search our entire corpus of 20 million URLs. He would have to enter each
term individually, select the link and save the
document for review.
Relevance is highly context-dependent
Approach: visual search of connected documents
Topic modelling
Extract main topic of each lesson
Graph database
Neo4j graph database Easy integration in IT systems
Visualization
Full-text search Visual exploration of document correlations
Mapping knowledge with topic modelling
2,000 lessons extracted from the public NASA Engineering Network lesson learned database.
Graph model of the NASA lessons learned database
Linkurious reveals connections among lessons
Conclusion
Status
Still an experiment for NASA’s Strategy for Critical Data Visibility Through KM. Next:
user study & large-scale deployment.
Expectations
“A more effective search experience, reducing time to
find answers and allowing users to start their project on
the right foot.”
Background
NASA needs to provide efficient access to critical
data such as the lessons learned database.
Question?
Resources
● Linkurious: https://linkurio.us
● NASA public lessons learned database: https://llis.nasa.gov/
● http://km.nasa.gov/on-developing-better-magnets-for-finding-needles-in-haystacks/
● https://linkurio.us/how-nasa-experiments-with-knowledge-discovery/
● http://neo4j.com/blog/nasa-lesson-learned-database-using-neo4j-linkurious/
● NASA Strategy for Critical Data Visibility Through KM https://www.youtube.com/watch?v=vwJyU9vsfmU
● https://github.com/davidmeza1/doctopics
