GraphTour New York - October 16, 2019 -Presentation from Thomson Reuters Special Services- Dual Indexing Neo4j and Solr presented by Nathan Mayne

1. Dual Indexing Neo4j and Solr for a Unified
Platform
Labeled Property Graphs and RDF for the
Enterprise
October 16th, 2019
REUTERS / Jason Reed

2. Overview
REUTERS / Kham

3. Hierarchy of Search Needs
Eric Pugh, Search Relevance Organizational Maturity Model
2017

4. Least Favorite Data
Format?

6. Knowledge Graph Statistics
74 data sources
1.7 billion triples
18,784,766 unique entities
Leveraging 7 open source
projects

7. Enterprise Graph: Connecting structured and unstructured
content
TAGSTITC
H
MAP INDEX

8. Enterprise Graph: Connecting structured and unstructured
content
MAP
Unify data attributes into common
vocabulary

9. Enterprise Graph: Connecting structured and unstructured
content
Resolve unique entities into the larger graph
STITC
H

10. Enterprise Graph: Connecting structured and unstructured
content
Use Unstructured Text to Enrich Entities
and Relationships
TAG

11. Enterprise Graph: Connecting structured and unstructured
content
Make it All Searchable
in Neo and Solr
INDEX

12. TRSS Enterprise Graph Architecture Diagram
Neo4j
Allows cypher queries

13. Why Use Both?
REUTERS / Ilya Naymushin
• Existing data sources in RDF
• RDF has mature ecosystem
• Search in Cypher, SPARQL, or GraphQL
• Leverage Neo4j Graph Algorithms
• Perform domain specific modelling

14. Mapping RDF to Neo
Key Steps
1. Iterate over relationships
2. Match each node to its related nodes
3. Merge paths with relationships
REUTERS / Yves Herman

15. Use Cases

16. Localized Centrality
REUTERS / Yves Herman

17. Relationship Validation via Automated Document Tagging

18. Investment Trends

19. Investment Trends

20. Sample Images
REUTERS / Yves Herman
Next Steps
• Entity Resolution
• Open Identifiers
• Graph Literacy

21. REUTERS / Yves Herman
Conclusion
Image Credits - The Apache Software Foundation, Neo4j,
PostgreSQL License, and Redis Labs Fair Use

22. REUTERS / Yves Herman
Contact Me
@nathanmaynes