The document discusses the concept of an enterprise knowledge graph (EKG) that effectively manages and connects vast amounts of corporate data, enhancing knowledge accessibility and utility. It highlights the integration of diverse data sources and entities to facilitate various use cases such as intelligent search and expert identification. Utilizing advanced technologies like cloud computing and ontology, the EKG aims to improve organizational knowledge management and decision-making.

1. Enterprise Knowledge Graph
From Big Data to Big Knowledge
L. Masuch | H. Muszynski | B. Räthlein

2. Today knowledge has power.
It controls access to opportunity and advancement
„
„Peter Drucker

3. Knowledge in companies is hoarded in various datasilos.
It is hard to find the right information.

4. Google Knowledge Graph

5. Facebook Social Graph

6. Enterprise Knowledge Graph
Employee Events Product CustomerProjectContent Location

7. Enterprise Knowledge Graph

8. managed by
creator of
modified by
shared in
member of
member of
expertise in
participates in
located in
used by
located in
located in
focus area in
Enterprise Knowledge Graph

9. A Look Inside…
35
Connected
Datasources
2
Million
Entities
40
Entity
Types
5
Million
Associations

10. Concept

11. Addressbook
Corporate
Wiki
Social
Networks
Geonames
HR Info
Document
Share
Project
Repositories
Data Aggregation

12. Ontology

13. Corporate Terminology
Dictionary of highly relevant entities
Cloud Hana
Hasso Plattner in-memory
Python
SAP
Fiori
JavaScript
Netweaver
Team
Walldorf
Project
Karlsruhe
Cloud

14. Use Cases
Context Awareness
Smart Team Chat
Duplication Detection
Enterprise Recommendation System
Social Network Analysis
Expert Finder
Enhanced Enterprise Search
Automatic Tagging
Intelligent Business Assistant
Trend Explorer
Intelligent Q&A System

15. Under the Hood

17. EKG Explorer

21. ONE Enterprise Search

27. Thanks
Lukas Masuch | Henning Muszynski | Benjamin Räthlein
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