SlideShare a Scribd company logo
1 of 21
National Aeronautics and Space Administration
www.nasa.gov
Identifying Workforce Skills
& Capabilities Knowledge
Graph
David Meza
Sr. Data Scientist
Office of the Chief Human Capital Officer
1
Creating Knowledge Graphs
• Understand the Domain
• Ask the Questions
• Define your Model
• Do the Analysis
2
3
Understand Your Domain
4
HR Executives Say Skills Most Important
5
What Are The Questions?
• What is my workforce skill map?
• Where are skills grouped?
• Programs
• Projects
• Location
• Can I identify adjacent skills?
• Cypher à SQL
• Python à R
• I want to change careers, what should I learn?
6
Define Your Model
Information Technology Competency Model
7
Source: Employment and Training Administration US DOL
Core Elements of Skill Inventory Systems
8
Gather the Data
Governmental Approaches
9
ONET-SOC 2019 Taxonomy
10
Graph Model
11
Occupation Ontology: Graph View
12
KSAT Knowledge Graph Model
13
Occupation Elements
14
Compare Work Roles
15
Rank Skills by Occupation
OPM Occupation SOC Group Element Value
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skill
s']
understanding written sentences and paragraphs in work
related documents. 4.5
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skill
s']
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_Skill
s']
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_Skill
s'] talking to others to convey information effectively. 4.12
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skill
s'] using mathematics to solve problems. 4.38
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skill
s']
using logic and reasoning to identify the strengths and
weaknesses of alternative solutions, conclusions or approaches
to problems. 4.25
GS-1550
computer and information research
scientists
15-
1111.00
['Basic_Skill
s']
using logic and reasoning to identify the strengths and
weaknesses of alternative solutions, conclusions or approaches
to problems. 4
GS-855 electrical engineers
17-
2071.00
['Basic_Skill
s']
understanding written sentences and paragraphs in work
related documents. 3.88
16
Career Change
CALL gds.graph.create.cypher(‘IT_Program_Knowledge',
'MATCH (n) WHERE (n:Occupation) OR (n:Knowledge) RETURN id(n) AS id',
'MATCH (opm:OPMSeries)-[r:IN_OPM_Series]-(occ:Occupation) WHERE opm.series IN ["GS-2210-0", "GS-0080-0", "GS-0340-0", "GS-
0343-0"] WITH occ, opm MATCH (occ)-[f:Found_In]-(s:Knowledge) WHERE f.scale = "IM" AND f.datavalue > 2.99
RETURN id(occ) AS source, id(s) AS target’
)
CALL gds.nodeSimilarity.stream('IT_Program_Knowledge')
YIELD node1, node2, similarity
RETURN gds.util.asNode(node1).title AS Occupation1, gds.util.asNode(node2).title AS Occupation2, similarity
ORDER BY Occupation1
17
Occupation1 Occupation2 similarity
management analysts online merchants 57.14%
management analysts search marketing strategists 46.15%
management analysts business intelligence analysts 46.15%
management analysts information technology project managers 43.75%
management analysts informatics nurse specialists 38.89%
management analysts geospatial information scientists and technologists 33.33%
management analysts web administrators 33.33%
management analysts sustainability specialists 33.33%
management analysts business continuity planners 31.25%
management analysts telecommunications engineering specialists 29.41%
Adding to Knowledge Graph
18
KSATs by Project
19
More to Come
• Recommendation Engine
• I have certain skills, what jobs are available
• I need certain skills for my project, who is available
• Expert Finder
• Develop Training Plans
• Outline Career paths
20
Contact Information
David Meza – david.meza-1@nasa.gov
Twitter - @davidmeza1
Linkedin - https://www.linkedin.com/in/davidmeza1/
Github – davidmeza1

More Related Content

What's hot

Data Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical ApproachesData Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical ApproachesDATAVERSITY
 
Data Warehouse or Data Lake, Which Do I Choose?
Data Warehouse or Data Lake, Which Do I Choose?Data Warehouse or Data Lake, Which Do I Choose?
Data Warehouse or Data Lake, Which Do I Choose?DATAVERSITY
 
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...Neo4j
 
Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...
Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...
Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...Flink Forward
 
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...Neo4j
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management DATAVERSITY
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogDATAVERSITY
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at ScaleDATAVERSITY
 
Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
 
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Tristan Baker
 
Neo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptx
Neo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptxNeo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptx
Neo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptxNeo4j
 
Why an AI-Powered Data Catalog Tool is Critical to Business Success
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessWhy an AI-Powered Data Catalog Tool is Critical to Business Success
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessInformatica
 
The Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 SuccessThe Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 SuccessDATAVERSITY
 
Capability Model_Data Governance
Capability Model_Data GovernanceCapability Model_Data Governance
Capability Model_Data GovernanceSteve Novak
 
ntroducing to the Power of Graph Technology
ntroducing to the Power of Graph Technologyntroducing to the Power of Graph Technology
ntroducing to the Power of Graph TechnologyNeo4j
 
Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)Nathan Bijnens
 
Enabling a Data Mesh Architecture with Data Virtualization
Enabling a Data Mesh Architecture with Data VirtualizationEnabling a Data Mesh Architecture with Data Virtualization
Enabling a Data Mesh Architecture with Data VirtualizationDenodo
 

What's hot (20)

Data Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical ApproachesData Modeling Best Practices - Business & Technical Approaches
Data Modeling Best Practices - Business & Technical Approaches
 
Data Warehouse or Data Lake, Which Do I Choose?
Data Warehouse or Data Lake, Which Do I Choose?Data Warehouse or Data Lake, Which Do I Choose?
Data Warehouse or Data Lake, Which Do I Choose?
 
Data Mesh
Data MeshData Mesh
Data Mesh
 
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
 
Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...
Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...
Virtual Flink Forward 2020: Netflix Data Mesh: Composable Data Processing - J...
 
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
 
Data Governance and Metadata Management
Data Governance and Metadata ManagementData Governance and Metadata Management
Data Governance and Metadata Management
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog
 
How a Semantic Layer Makes Data Mesh Work at Scale
How a Semantic Layer Makes  Data Mesh Work at ScaleHow a Semantic Layer Makes  Data Mesh Work at Scale
How a Semantic Layer Makes Data Mesh Work at Scale
 
Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3Webinar Data Mesh - Part 3
Webinar Data Mesh - Part 3
 
Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)
 
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
Intuit's Data Mesh - Data Mesh Leaning Community meetup 5.13.2021
 
Neo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptx
Neo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptxNeo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptx
Neo4j GraphSummit London March 2023 Emil Eifrem Keynote.pptx
 
Why an AI-Powered Data Catalog Tool is Critical to Business Success
Why an AI-Powered Data Catalog Tool is Critical to Business SuccessWhy an AI-Powered Data Catalog Tool is Critical to Business Success
Why an AI-Powered Data Catalog Tool is Critical to Business Success
 
The Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 SuccessThe Five Pillars of Data Governance 2.0 Success
The Five Pillars of Data Governance 2.0 Success
 
Data Mesh 101
Data Mesh 101Data Mesh 101
Data Mesh 101
 
Capability Model_Data Governance
Capability Model_Data GovernanceCapability Model_Data Governance
Capability Model_Data Governance
 
ntroducing to the Power of Graph Technology
ntroducing to the Power of Graph Technologyntroducing to the Power of Graph Technology
ntroducing to the Power of Graph Technology
 
Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)Data Mesh in Azure using Cloud Scale Analytics (WAF)
Data Mesh in Azure using Cloud Scale Analytics (WAF)
 
Enabling a Data Mesh Architecture with Data Virtualization
Enabling a Data Mesh Architecture with Data VirtualizationEnabling a Data Mesh Architecture with Data Virtualization
Enabling a Data Mesh Architecture with Data Virtualization
 

Similar to Developing a Knowledge Graph of your Competency, Skills, and Knowledge at NASA

When to NoSQL and when to know SQL
When to NoSQL and when to know SQLWhen to NoSQL and when to know SQL
When to NoSQL and when to know SQLSimon Elliston Ball
 
Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)
Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)
Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)Howin Chan, PHR
 
Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...
Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...
Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...NoSQLmatters
 
Project_2CIS405(GroupProject)
Project_2CIS405(GroupProject)Project_2CIS405(GroupProject)
Project_2CIS405(GroupProject)James Wu
 
Killing ETL with Apache Drill
Killing ETL with Apache DrillKilling ETL with Apache Drill
Killing ETL with Apache DrillCharles Givre
 
How to Build Data Science Teams
How to Build Data Science TeamsHow to Build Data Science Teams
How to Build Data Science TeamsGanes Kesari
 
Final Presentation V1.8
Final Presentation V1.8Final Presentation V1.8
Final Presentation V1.8Chad Koziel
 
Recruitment & Selection job analysis
Recruitment & Selection  job analysisRecruitment & Selection  job analysis
Recruitment & Selection job analysisRajani Jha
 
Oracle Information Data Discovery for HR (EBS)
Oracle Information Data Discovery for HR (EBS)Oracle Information Data Discovery for HR (EBS)
Oracle Information Data Discovery for HR (EBS)Bizinsight Consulting Inc
 
Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014
Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014
Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014Lucian Precup
 
Agile Data Science 2.0
Agile Data Science 2.0Agile Data Science 2.0
Agile Data Science 2.0Russell Jurney
 
Agile Data Science 2.0
Agile Data Science 2.0Agile Data Science 2.0
Agile Data Science 2.0Russell Jurney
 
Everyday Data Science
Everyday Data ScienceEveryday Data Science
Everyday Data SciencePaul Laughlin
 
Cmap ex02
Cmap ex02Cmap ex02
Cmap ex02so3137
 
Reflected intelligence evolving self-learning data systems
Reflected intelligence  evolving self-learning data systemsReflected intelligence  evolving self-learning data systems
Reflected intelligence evolving self-learning data systemsTrey Grainger
 
Better Search Through Query Understanding
Better Search Through Query UnderstandingBetter Search Through Query Understanding
Better Search Through Query UnderstandingDaniel Tunkelang
 

Similar to Developing a Knowledge Graph of your Competency, Skills, and Knowledge at NASA (20)

When to NoSQL and when to know SQL
When to NoSQL and when to know SQLWhen to NoSQL and when to know SQL
When to NoSQL and when to know SQL
 
Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)
Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)
Michaels-Where Creativity Happens (Dallas Ohug Nov 4, 2010)
 
Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...
Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...
Simon Elliston Ball – When to NoSQL and When to Know SQL - NoSQL matters Barc...
 
Keywords matching
Keywords matchingKeywords matching
Keywords matching
 
Avinash Kumar
Avinash KumarAvinash Kumar
Avinash Kumar
 
Project_2CIS405(GroupProject)
Project_2CIS405(GroupProject)Project_2CIS405(GroupProject)
Project_2CIS405(GroupProject)
 
Killing ETL with Apache Drill
Killing ETL with Apache DrillKilling ETL with Apache Drill
Killing ETL with Apache Drill
 
Olatokunbo Ogun Resume
Olatokunbo Ogun ResumeOlatokunbo Ogun Resume
Olatokunbo Ogun Resume
 
How to Build Data Science Teams
How to Build Data Science TeamsHow to Build Data Science Teams
How to Build Data Science Teams
 
Final Presentation V1.8
Final Presentation V1.8Final Presentation V1.8
Final Presentation V1.8
 
Recruitment & Selection job analysis
Recruitment & Selection  job analysisRecruitment & Selection  job analysis
Recruitment & Selection job analysis
 
Oracle Information Data Discovery for HR (EBS)
Oracle Information Data Discovery for HR (EBS)Oracle Information Data Discovery for HR (EBS)
Oracle Information Data Discovery for HR (EBS)
 
Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014
Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014
Back to the future : SQL 92 for Elasticsearch ? @nosqlmatters Dublin 2014
 
HR endeca extensions for ebs
HR endeca extensions for ebsHR endeca extensions for ebs
HR endeca extensions for ebs
 
Agile Data Science 2.0
Agile Data Science 2.0Agile Data Science 2.0
Agile Data Science 2.0
 
Agile Data Science 2.0
Agile Data Science 2.0Agile Data Science 2.0
Agile Data Science 2.0
 
Everyday Data Science
Everyday Data ScienceEveryday Data Science
Everyday Data Science
 
Cmap ex02
Cmap ex02Cmap ex02
Cmap ex02
 
Reflected intelligence evolving self-learning data systems
Reflected intelligence  evolving self-learning data systemsReflected intelligence  evolving self-learning data systems
Reflected intelligence evolving self-learning data systems
 
Better Search Through Query Understanding
Better Search Through Query UnderstandingBetter Search Through Query Understanding
Better Search Through Query Understanding
 

More from Neo4j

From Knowledge Graphs via Lego Bricks to scientific conversations.pptx
From Knowledge Graphs via Lego Bricks to scientific conversations.pptxFrom Knowledge Graphs via Lego Bricks to scientific conversations.pptx
From Knowledge Graphs via Lego Bricks to scientific conversations.pptxNeo4j
 
Novo Nordisk: When Knowledge Graphs meet LLMs
Novo Nordisk: When Knowledge Graphs meet LLMsNovo Nordisk: When Knowledge Graphs meet LLMs
Novo Nordisk: When Knowledge Graphs meet LLMsNeo4j
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansQIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansNeo4j
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityNeo4j
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...Neo4j
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosNeo4j
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Neo4j
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jNeo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Neo4j
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeNeo4j
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsNeo4j
 

More from Neo4j (20)

From Knowledge Graphs via Lego Bricks to scientific conversations.pptx
From Knowledge Graphs via Lego Bricks to scientific conversations.pptxFrom Knowledge Graphs via Lego Bricks to scientific conversations.pptx
From Knowledge Graphs via Lego Bricks to scientific conversations.pptx
 
Novo Nordisk: When Knowledge Graphs meet LLMs
Novo Nordisk: When Knowledge Graphs meet LLMsNovo Nordisk: When Knowledge Graphs meet LLMs
Novo Nordisk: When Knowledge Graphs meet LLMs
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansQIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered Sustainability
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG time
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge Graphs
 

Recently uploaded

FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...apidays
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...apidays
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxRemote DBA Services
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Angeliki Cooney
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamUiPathCommunity
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 

Recently uploaded (20)

FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Vector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptxVector Search -An Introduction in Oracle Database 23ai.pptx
Vector Search -An Introduction in Oracle Database 23ai.pptx
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 

Developing a Knowledge Graph of your Competency, Skills, and Knowledge at NASA

  • 1. National Aeronautics and Space Administration www.nasa.gov Identifying Workforce Skills & Capabilities Knowledge Graph David Meza Sr. Data Scientist Office of the Chief Human Capital Officer 1
  • 2. Creating Knowledge Graphs • Understand the Domain • Ask the Questions • Define your Model • Do the Analysis 2
  • 4. 4
  • 5. HR Executives Say Skills Most Important 5
  • 6. What Are The Questions? • What is my workforce skill map? • Where are skills grouped? • Programs • Projects • Location • Can I identify adjacent skills? • Cypher à SQL • Python à R • I want to change careers, what should I learn? 6
  • 7. Define Your Model Information Technology Competency Model 7 Source: Employment and Training Administration US DOL
  • 8. Core Elements of Skill Inventory Systems 8
  • 16. Rank Skills by Occupation OPM Occupation SOC Group Element Value GS-1550 computer and information research scientists 15- 1111.00 ['Basic_Skill s'] understanding written sentences and paragraphs in work related documents. 4.5 GS-1550 computer and information research scientists 15- 1111.00 ['Basic_Skill s'] 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_Skill s'] 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_Skill s'] talking to others to convey information effectively. 4.12 GS-1550 computer and information research scientists 15- 1111.00 ['Basic_Skill s'] using mathematics to solve problems. 4.38 GS-1550 computer and information research scientists 15- 1111.00 ['Basic_Skill s'] using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. 4.25 GS-1550 computer and information research scientists 15- 1111.00 ['Basic_Skill s'] using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. 4 GS-855 electrical engineers 17- 2071.00 ['Basic_Skill s'] understanding written sentences and paragraphs in work related documents. 3.88 16
  • 17. Career Change CALL gds.graph.create.cypher(‘IT_Program_Knowledge', 'MATCH (n) WHERE (n:Occupation) OR (n:Knowledge) RETURN id(n) AS id', 'MATCH (opm:OPMSeries)-[r:IN_OPM_Series]-(occ:Occupation) WHERE opm.series IN ["GS-2210-0", "GS-0080-0", "GS-0340-0", "GS- 0343-0"] WITH occ, opm MATCH (occ)-[f:Found_In]-(s:Knowledge) WHERE f.scale = "IM" AND f.datavalue > 2.99 RETURN id(occ) AS source, id(s) AS target’ ) CALL gds.nodeSimilarity.stream('IT_Program_Knowledge') YIELD node1, node2, similarity RETURN gds.util.asNode(node1).title AS Occupation1, gds.util.asNode(node2).title AS Occupation2, similarity ORDER BY Occupation1 17 Occupation1 Occupation2 similarity management analysts online merchants 57.14% management analysts search marketing strategists 46.15% management analysts business intelligence analysts 46.15% management analysts information technology project managers 43.75% management analysts informatics nurse specialists 38.89% management analysts geospatial information scientists and technologists 33.33% management analysts web administrators 33.33% management analysts sustainability specialists 33.33% management analysts business continuity planners 31.25% management analysts telecommunications engineering specialists 29.41%
  • 20. More to Come • Recommendation Engine • I have certain skills, what jobs are available • I need certain skills for my project, who is available • Expert Finder • Develop Training Plans • Outline Career paths 20
  • 21. Contact Information David Meza – david.meza-1@nasa.gov Twitter - @davidmeza1 Linkedin - https://www.linkedin.com/in/davidmeza1/ Github – davidmeza1