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_Competitive Advantages with
Knowledge Graphs and
Graph Technology
September 24, 2019
Axel Morgner
Co-Founder / Managing Director
Structr GmbH
Contents
_ About us
_ Graph Technology
_ Knowledge Graphs
_ Examples and Competitive Advantages
About us
Structr GmbH | Mission Statements | Customers & Clients
The
Structr Team
Mission Statements
Graph Technology for People Create Tools You Enjoy Working With
Support organizations in their digital
transformation through graph technology.
Make software development efficient, predictable
and hassle-free with user-friendly software tools.
From Foundation until Today
_ Emerged 2010 from the open source project Structr
_ Founded 2011 as Morgner UG (limited liability)
_ Renamed Structr GmbH in 2015
_ Headquarters in Frankfurt am Main
_ Currently 11 employees at two locations
Business Areas
_ Company behind the Structr Graph Application Platform
_ Individual software development
_ Software projects
_ Graph Technology Consulting
Customers & Clients
Graph Technology
History | Trend | Evolution
Graphs
The Best
Abstraction
Graphs
The Best
Abstraction
_ Abstraction of the real world
_ Abstraction of physical objects
_ Abstract concepts and relations
_ Interactions
_ Relations of all kind
Seven Bridges of Königsberg
Leonard Euler (1736)
Graphs
The Best
Abstraction
Graphs
The Best
Abstraction
Graphs
The Best
Abstraction
A D
C
B
Graphs
The Best
Abstraction
A D
C
B
Euler (1736)
About 250
years later...
ERM (1970s) UML (1990s) RDF (2000s)
Graphs
The Best
Abstraction
A D
C
B
Trend: Graph Databases
But Why?
? ?
? ?
Two Reasons:
? ?
Simplification Technology
Simplification & Technology
Property Graph Model (Native) Graph Database
Graph Database
Graph Technology: The Ideal Implementation
_ Simple and intuitive (“Whiteboard-friendly”)
_ Fewer technical layers
_ Fast queries without join operations
_ Flexible (schema-less)
Evolution or (Graph) Use Cases
Complexity
Data Volume
Content Management
Recommendation Engines
Social Networks
Network Operations
Master Data Management
Decision Trees
Configuration Management
Internet of Things
Risk Management
Artificial Intelligence
Fraud Detection
Machine Learning
Contextual Learning
Knowledge Graphs
Natural Language Processing
Systems become more and more intelligent
Evolution of Graph Technology
API API API API API
Query
Language
Query
Language
Query
Language
Query
Language
ETL ETL ETL
Applications Applications
AnalyticsVisualization
DriversAdmin
AnalyticsVisualization
DriversAdmin
Application and
Integration Platform
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs and graph technology" - Axel Morgner
_ Software applications defined as graph
_ Flexible, semantic meta data model
_ 100% freedom for developers
_ Zero deployment time
_ Integrated security system (users, groups, roles)
_ Integrated content and document management
_ Web IDE
Structr - The Graph Application Platform
Tools You Enjoy Working With
Knowledge Graphs
Trend | Definition
2018 2019
Knowledge + Graphs
Traditional Databases
Graph Databases
Graph Technology
Applications
Examples
Use Cases | Competitive Advantages
Anti-Money Laundering
_ 2,000 billion USD worldwide (est.)
_ 100 billion EUR Germany only (est.)
_ Worldwide and widespread
_ Correlates with other illegal activities
Enterprise Data Management
Conclusion
Conclusion
_ Use Graph Technology to build Knowledge Graph Apps to make a positive impact on your organization.
Questions?
Thank You!
_ structr.com
_ github.com/structr/structr
_ twitter.com/structr
_ linkedin.com/company/structr

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