What is a Knowledge Graph?
Learn more about Knowledge Graph → http://ibm.biz/knowledge-graph-guide Watch "What is Natural Language Processing?" lightboard video → https://youtu.be/fLvJ8VdHLA0 Build a domain specific Knowledge Graph → http://ibm.biz/build-knowledge-graph Check out IBM Watson Discovery → http://ibm.biz/prod-watson-discovery Knowledge graphs represent a network of real-world entities, such as people, places, and things in the world, and illustrates the relationship between them. In this lightboard video, Martin Keen with IBM visually explains the fundamentals of knowledge graphs and then demonstrates how they can turn your data into machine understandable language. Get started on IBM Cloud at no cost → http://ibm.biz/BdftGB Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now #KnowledgeGraph #NaturalLanguageProcessing #DataIntegration
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.
- Modern applications allow almost any entity you could imagine to be described with anyone.
- Machines are able to understand how these entities relate to each other, along with shared attributes.
- Allows us to draw connections between different things in the world around us.
Nodes and Edges
- A knowledge graph is made up of nodes connected by edges.
- Nodes describe any object or person or place, and an edge defines the relationship between the nodes.
- The pair of nodes can be connected by more than one relation if they are related in multiple ways.
Applications of Knowledge Graphs
- Can build different data sources and bind them together to infer missing facts.
- Utilize natural language processing (NLP) to construct a view of nodes and edges through a process called semantic enrichment.
- Commercial applications include question and answer queries, recommended videos, insurance claims, retail product recommendations.
Coffee, Sleep, and Humans: A Knowledge Graph Example
This section provides an example of a knowledge graph using coffee, sleep, and humans as nodes.
The Three Nodes
- Human
- Coffee
- Sleep
The Edges Between Them
- Consumed connects human and coffee
- Needs connects human and sleep
- Unknown connection between coffee and sleep
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
- If you have any questions, leave them in the comments section below.
- Like and subscribe if you want to see more videos like this in the future.