National Aeronautics and Space Administration
www.nasa.gov
KSATT - Knowledge, Skills,
Abilities, Tasks and Technology
David Meza
Sr. Data Scientist
Office of the Chief Human Capital Officer
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Combining Knowledge Graphs and Algorithms to Find
Hidden Skills

HR Executives Say Skills Most Important
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Enterprise Knowledge Graphs
• Enterprise Knowledge Graphs help companies create their
specific web of knowledge representing their very own domain. As
a result, they can seamlessly break down data silos to use
information assets in an agile way.
• Brings together structured and unstructured data
• Speedier search enabling faster decisions
• Can connect knowledge graphs across domains
• Algorithms (NLP)
• Text annotation
• Knowledge graph enrichment – Path Finding, Centrality, Community Detection
• Text rank
• Similarity
• Sentiment analysis

Creating Knowledge Graphs
Tools Used
• Neo4j
• Graph algorithms – node similarity
• Evaluating graph neural nets (gnn)
• Python / R
• Doc2vec
• Entity extraction
• BERT, RNN and Spacy
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Comparison – RDF - LPG
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KSAT Knowledge Graph Model Workflow
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Different Domain Sources
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ONET-SOC 2019 Taxonomy
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KSATT Data Model

Expand Model to Create Profiles

Connect to External Data Sources

Connect to Mission Data

KSATT DATA MODEL
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KSATTs by Project
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Graph Data Science
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Courtesy of Dr. Alicia Frame, Neo4j

Algorithms
Node Similarity
compares a set of nodes based
on the nodes they are
connected to. Two nodes are
considered similar if they share
many of the same neighbors.
Node Similarity computes pair-
wise similarities based on the
Jaccard metric, also known as
the Jaccard Similarity Score.
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// Compare IT jobs with Program Analyst
CALL gds.graph.create.cypher(
'IT_Program_Knowledge',
'MATCH (n) WHERE (n:Occupation) OR (n:Knowledge) RETURN id(n) AS id',
'MATCH (opm:OPM_Series)-[r:IN_OPM_SERIES]-(occ:Occupation) WHERE
opm.title IN ["GS-2210", "GS-0080", "GS-0340", "GS-0343"] WITH occ, opm
MATCH (occ)-[f:FOUND_IN]-(s:Knowledge) WHERE f.IM > 0.5 RETURN id(occ)
AS source, id(s) AS target'
)
// Stream Reuslts
CALL gds.nodeSimilarity.stream('IT_Program_Knowledge')
YIELD node1, node2, similarity
WHERE gds.util.asNode(node1).title = 'Management Analysts'
RETURN gds.util.asNode(node1).title AS Occupation1,
gds.util.asNode(node2).title AS Occupation2, similarity
ORDER BY similarity DESCENDING, Occupation1, Occupation2

Career Change
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Occupation1 Occupation2 similarity
Management Analysts Information Technology Project Managers 72.22%
Management Analysts Document Management Specialists 68.75%
Management Analysts Sustainability Specialists 68.42%
Management Analysts Online Merchants 62.50%
Management Analysts Business Continuity Planners 61.11%
Management Analysts Health Informatics Specialists 60.00%
Management Analysts Database Administrators 52.94%
Management Analysts Information Security Analysts 47.06%
Management Analysts Web Administrators 47.06%
Management Analysts Computer Network Support Specialists 44.44%

Discover Connections

Support DEI Initiatives

Rank Skills by Occupation
OPM Occupation SOC Group Element Value
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skills
']
understanding written sentences and paragraphs in work
related documents. 4.5
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skills
'] using mathematics to solve problems. 4.38
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skills
']
giving full attention to what other people are saying, taking time
to understand the points being made, asking questions as
appropriate, and not interrupting at inappropriate times. 4.12
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skills
']
communicating effectively in writing as appropriate for the
needs of the audience. 4.12
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skills
'] talking to others to convey information effectively. 4.12
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MATCH (opm:OPMSeries)-[r:IN_OPM_Series]-(occ:Occupation)
WHERE opm.series IN ["GS-2210", "GS-1550", "GS-854", "GS-855"]
WITH occ, opm
MATCH (occ)-[f:Found_In]-(s:Basic_Skills)
WHERE f.datavalue > 3.75
RETURN opm.series AS OPM, occ.title AS Occupation, occ.onet_soc_code AS SOC, labels(s) AS Group, s.description AS Element, f.datavalue AS
Value
ORDER BY Value Descending

Employees Similar to an Occupation Based on Abilities
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Similarity Employee
35Bradford
29Constance
29Craig
29David
29Eric
29Jason
29Mehti
29Naimah
29Steven
29Ted

Contact Information
David Meza – david.meza-1@nasa.gov
Twitter - @davidmeza1
Linkedin - https://www.linkedin.com/in/davidmeza1/
Github – davidmeza1
Madison Gipson
Website: https://madisongipson.com/
LinkedIn: https://linkedin.com/in/mgip
Github: https://github.com/mgipson
Email: madison.gipson@nasa.gov or mgipson@stetson.edu