This document discusses a knowledge graph system and its components. It describes the system's architecture including data extraction, processing, storage and querying. It also covers the system's applications in risk management, various processing methods like streaming, batch and reasoning, and how it supports thousands of entities with billions of relationships. Finally, it provides contact details for the system.

1. songhou@creditease.cn
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P2P
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12. 3.1
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risk model
data data

13. 3.2
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Query
Engine
crawler
controller
REST
Client
DB
HDFS
File
KG
web front
REST
Client
realtime
source
realtime/batch
extractionrealtime
inserts
commands web
trace
batch
processing
Web
crawlers
logging
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Kafka
spark
streaming
web extraction
config
online knowledge
processing
offline complex
reasoning
entity retrieve
graph traverse
full text search
KG
repository
batch logging
partners
Query
Engine
data
integration

14. 3.3
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15. 3.4
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Spark / MR
Yarn
Hadoop

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17. 4.
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18. 4.1
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19. 4.1
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NLP
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21. 4.2
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dashboard
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24. •
• jianmindong@creditease.cn
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25. Thanks
Q & A
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songhou@creditease.cn
http://housong.github.io