The Enterprise Knowledge Graph is a disruptive platform that combines emerging Big Data and Graph technologies to reinvent knowledge management inside organizations. This platform aims to organize and distribute the organization’s knowledge, and making it centralized and universally accessible to every employee. The Enterprise Knowledge Graph is a central place to structure, simplify and connect the knowledge of an organization. By removing complexity, the knowledge graph brings more transparency, openness and simplicity into organizations. That leads to democratized communications and empowers individuals to share knowledge and to make decisions based on comprehensive knowledge. This platform can change the way we work, challenge the traditional hierarchical approach to get work done and help to unleash human potential!

1. Enterprise Knowledge Graph
Next-gen Knowledge Management

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

3. Inspired by Google’s Knowledge Graph

4. Enterprise Knowledge Graph
Employee Events Product CustomerProjectContent Location

5. 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

6. Addressbook
Corporate
Wiki
Social
Networks
Geonames
HR Info
Document
Share
Project
Repositories
Connects Data Sources

7. Natural Language Understanding
to extract implicit knowledge from text

8. Neural Embeddings
to understand semantics between entities

9. From Big Data to Big Knowledge
1. Define graph schema and aggregate
knowledge graph from structured data
2. Concept mining and ranking

10. From Big Data to Big Knowledge
3. Textual data preprocessing (data
cleaning, frequent phrases removal,
stop word removal, tokenization... )
4. Train Language Models
doc2vec
word2vec
ngrams
TF-IDF
LDA
LSI

11. From Big Data to Big Knowledge
5. Concept linking (variants,
hierarchical, semantic relations)
6. Concept detection and inference
from text content

12. Graph Reasoning + NLU
Entity Recognition
Semantic Comparisons
Relation Extraction
Graph Recommendations
Graph Mining Graph Search
Document Classification
Relevance Ranking
Search Query Understanding
Keyword Detection
Graph Clustering
Entity Disambiguation
Entity Resolution

13. Enables next-gen Applications
Enterprise Search
Conversational Assistants
Smart Q&A Systems
Recommendation Systems
Context-aware Applications
Automatic Tagging
Duplicated Work Detection
Expert Finder
Domain-specific Language Understanding

14. Wrap Up
Connected Silos and Context are key to
enable innovative use cases
EKG is a next-gen technology to shift from
Big Data to Big Knowledge
Machine Intelligence enables a deeper
understanding and new insights

15. Thanks
Lukas Masuch | Benjamin Räthlein
?