A Universe of Knowledge Graphs
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This document discusses knowledge graphs and how they can be used to drive intelligence into data. It describes how knowledge graphs can organize different types of data relationships and enable applications such as semantic search, pattern matching, and analyzing dependencies. Specific use cases are provided for skills discovery, root cause analysis, and military equipment management. Knowledge graphs are presented as a way to bridge data silos and enable a unified data fabric.
A Universe of Knowledge Graphs
- 1. © 2022 Neo4j, Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. A Universe of Knowledge Graphs Dr. Maya Natarajan Sr. Director, Product Marketing [email protected] Dr. Jesús Barrasa Sr Director, Sales Engineering [email protected]
- 2. © 2022 Neo4j, Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 2 A knowledge graph is an interconnected dataset enriched with meaning so we can reason about the underlying data and use it confidently for complex decision-making.
- 3. © 2022 Neo4j, Inc. All rights reserved. 3 Driving Intelligence into Data with Knowledge Graphs Data Graph Dynamic Context Knowledge Graph Deep Dynamic Context Organizing Principle Relationships
- 4. © 2022 Neo4j, Inc. All rights reserved. Data Comes in Many Shapes & Sizes A B C D E A B C D E One-to-Many Relationships Across Many Entities Small, Wide Data Complex Data Hierarchical & Recursive Data Many-to-Many Relationships Nested Tree Structures Recursion (Self- Joins) Deep Hierarchies Link Inference (If C relates to A and A relates to E, then C must relate to E) Node Similarity Hidden Data Legacy Data Frozen Data Legacy SQL Systems Data Lake Fact Tables Graph Data Science - Machine Reasoning A C E
- 5. © 2022 Neo4j, Inc. All rights reserved. 5 Driving Intelligence into Data with Knowledge Graphs Data Graph Dynamic Context Relationships
- 6. © 2022 Neo4j, Inc. All rights reserved. 6 Driving Intelligence into Data with Knowledge Graphs Data Graph Dynamic Context Knowledge Graph Deep Dynamic Context Organizing Principle Relationships
- 7. © 2022 Neo4j, Inc. All rights reserved. 7 What is Semantics? Entity Resolution & Analysis Classification & Tagging Artificial Intelligence C O M P L E X I T Y Synonym Rings Taxonomy Thesaurus Ontology Controlled Vocabularies
- 8. © 2022 Neo4j, Inc. All rights reserved. 8 Driving Intelligence into Data with Knowledge Graphs Data Graph Dynamic Context Knowledge Graph Deep Dynamic Context Organizing Principle Relationships
- 9. © 2022 Neo4j, Inc. All rights reserved. Knowledge Graphs: The Foundation for Many Use Cases ACTIONING DATA ANALYTICS DATA MANAGEMENT DECISIONING Aggregate Validate Govern Explore Deduce Infer Forecast Predict Prescribe Graph Queries Graph Algorithms Graph Based ML INTEGRATION & ENTITY RESOLUTION Semantic Search Pattern Matching Dependency
- 10. © 2022 Neo4j, Inc. All rights reserved. Knowledge Graphs Bridge Data Silos… Cross-Silo Connections
- 11. © 2022 Neo4j, Inc. All rights reserved. … & Enable a Data Fabric Cross-Silo Connections Metadata Validation Semantics Characteristics Annotations Disambiguation Schema DataOps Discovery Quality Integration Data Prep Lineage Governance Reliability Sharing Operations & Analytics Contextual Capabilities Contextual Intelligence Heterogeneous Data SaaS or . . . Business Intelligence Artificial Intelligence Analytics Marketing Ops Sales Ops HR Analytics Data-Driven Apps
- 12. © 2022 Neo4j, Inc. All rights reserved. Knowledge Graph for Metadata Management (Dataportal) https://medium.com/airbnb-engineering/democratizing-data-at-airbnb-852d76c51770 (Amundsen) https://neo4j.com/blog/live-from-lyft/ (DataHub) https://engineering.linkedin.com/blog/2020/open-sourcing-datahub--linkedins-metadata-search-and-discovery-p 2017 2019 2019 2020
- 13. © 2022 Neo4j, Inc. All rights reserved. 15 The Semantic Search Knowledge Graph A B C D E
- 14. © 2022 Neo4j, Inc. All rights reserved. Semantic Search Unstructured Documents Extracted Entities Taxonomy/ Ontology NLP Entity Disambiguation
- 15. © 2022 Neo4j, Inc. All rights reserved. 17 Semantic Search Challenge Finding incidents that may have taken place during missions to prevent future disasters Solution Knowledge graph to comb through millions of documents, reports, project data, lessons learned, scientific research, medical analysis, geospatial data, IT logs, etc. stored nationwide. Why Neo4j Flexible, Contextual Data Model $1M Taxpayer funds saved 2 yrs Work saved Quicker Resolution of issues
- 16. © 2022 Neo4j, Inc. All rights reserved. 18 The Pattern Matching Knowledge Graph
- 17. © 2022 Neo4j, Inc. All rights reserved. Role :HAS_SKILL Python Data Integration Project Engineering Java Employee Neo4j NodeJS :REQ_SKILL :HAS_SKILL :REQ_SKILL :HAS_SKILL :REQ_SKILL :IN _D EPT : R E Q _ S K I L L :FOR_PROJECT :HAS_SKILL :CANDIDATE_FOR {score: 0.75} Knowledge Graphs allow you to make implicit relationships…. ….explicit Moving from Implicit to Explicit
- 18. © 2022 Neo4j, Inc. All rights reserved. Neo4j, Inc. All rights reserved 2021 20 Pattern Matching = Hidden Value 6,100 employees 1 million calls 500,000 claims Identify Unknown Transformative Patterns Uncover New Answers
- 19. © 2022 Neo4j, Inc. All rights reserved. 21 What are Industries & Use Cases Recommendation/ Personalization Customer Journey Fraud Detection Single View Skills Discovery Patient Journey Literature Discovery Retail Financial Small and Wide Data Hidden Data One-to-Many Relationships Across Many Entities Many-to-Many Relationships Life Sciences & Healthcare Link Inference (If C relates to A and A relates to E, then C must relate to E) Node Similarity
- 20. © 2022 Neo4j, Inc. All rights reserved. 23 Skills Discovery Challenge A loss of skilled, trained employees due to workforce reduction Solution Knowledge graph combined with AI/ML across their various siloed employee skills, learning and workforce planning and resource management databases Why Neo4j Flexible, Contextual Data Model Quicker Identification & filling of skills gaps Automated Personalized recommendations
- 21. © 2022 Neo4j, Inc. All rights reserved. 24 The Dependency Type Knowledge Graph A D B C
- 22. © 2022 Neo4j, Inc. All rights reserved. 25 Dependencies, Dependencies… Oh My!
- 23. © 2022 Neo4j, Inc. All rights reserved. 26 Dependencies, Dependencies… Oh My! A B C H I D J N F E G L M Depends on Dep end s on De pen ds on Dep end s on De pe nd s on De pe nd s on D e p e n d s o n Depends on Depends on D e p e n d s o n D e p e n d s o n Depends on D e p e n d s o n
- 24. © 2022 Neo4j, Inc. All rights reserved. Neo4j, Inc. All rights reserved 2021 27 Small Dependency = Big Impact Single Component Manufacturer Shuts Down Entire Supply Chain Affected 30,000 components 4,000 suppliers 1,800 parts 19 hours assembly time / car 1,450 cars / day
- 25. © 2022 Neo4j, Inc. All rights reserved. 28 What are Industries & Use Cases Data Lineage Track & Trace Root Cause Analysis Impact Analysis What-If Analysis Redundancy Bottlenecks Supply Chain Telecomm Small and Wide Data Hierarchical and Recursive One-to-Many Relationships Across Many Entities Nested Tree Structures Recursion (Self-Joins) Deep Hierarchies Many-to-Many Relationships Manufacturing
- 26. © 2022 Neo4j, Inc. All rights reserved. 29 Diving Into An Example :DEPENDS_ON :DEPENDS_ON :DEPENDS_ON IF/AX2431 💥 Customer Event Correlation Root Cause Analysis Event Prioritization Impact Analysis
- 27. © 2022 Neo4j, Inc. All rights reserved. 5B Nodes 14B Relationships 7.5x Faster 77% Lower DB admin “ 30 Force Readiness Neo4j enables analysts to save huge amounts of time. Answers are immediate. As a result, the parts delivery is more accurate and order turnaround is much faster. Preston Hendrickson US Army Project, CALIBRE Challenge Slow, inflexible & expensive PLM system for military equipment Bill of Materials Management Solution Knowledge graph of components & costs to determine lifespan of equipment for ordering, budgeting and what-if analyses Why Neo4j Flexible, Contextual Data Model
- 28. © 2022 Neo4j, Inc. All rights reserved. © 2022 Neo4j, Inc. All rights reserved. 31 A Universe of Knowledge Graphs Questions? Contact us at [email protected] jesú[email protected]