What is a Knowledge Graph?
Introduction to Knowledge Graphs
This section introduces the concept of knowledge graphs and their applications.
What are Knowledge Graphs?
- A way of representing semantic information between two entities.
- Made up of nodes and edges. Nodes describe any object or person or place, and an edge defines the relationship between the nodes.
Applications of Knowledge Graphs
- Used in virtual assistants to answer questions by pulling information from a knowledge graph.
- Can be used to draw connections between different things in the world around us.
- Can build different data sources and bind them together to infer missing facts. For example, predicting the number of Chinese restaurants in New York City using census data and online reviews combined in a knowledge graph.
- Commercial applications include recommended videos on YouTube, insurance fraud detection, and retail product recommendations based on understanding relationships between products.
Natural Language Processing for Semantic Enrichment
This section explains how natural language processing is used to construct a view of nodes and edges through a process called semantic enrichment.
Semantic Enrichment with NLP
- Natural language processing is used to classify unstructured text into datasets that can be correlated and related to create a knowledge graph.
The Human-Coffee-Sleep Knowledge Graph
This section provides an example of a simple knowledge graph consisting of three nodes: human, coffee, and sleep.
The Human-Coffee-Sleep Knowledge Graph
- Consists of three nodes: human, coffee, and sleep connected by edges consumed (between human and coffee) and needs (between human and sleep).
- Provides a humorous example of how knowledge graphs can be used to represent relationships between entities.
Tips for Better Sleep
In this video, the speaker provides tips for better sleep.
Avoid Caffeine Late in the Day
- Avoid caffeine after 5 p.m. to improve your sleep quality.
Conclusion and Call to Action
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