What are Knowledge Graphs?

Knowledge graphs are used to describe people, things, ideas and anything else you can imagine. They capture knowledge in a way that both humans and computers can understand.

For humans it is intuitive to communicate using graphs. And, we intuitively like to click on things to see what they will do. Graph objects can be clicked on, and data can be viewed/edited and rearranged to reference other objects in the graph. Graphs can be jagged and incomplete, because that's how our brains work when we're trying to understand something new.

The use of knowledge graphs by computers is quite exciting because they are reliable, flexible and able to scale to high volumes. The use of knowledge graphs is exploding around the world and they are being used by most of the big tech companies. For example, the reason web searches are getting smarter and more consistent is an open knowledge graph called schema.org that describes the most common search terms. Facebook and LinkedIn are two examples of giant social knowledge graphs.

Please note that the functionality described on this page is coming soon. Please see our Release plans page for more.

This graph shows objects of different shapes and colors and arrows pointing between them. Each shape and color combination has a different meaning. Clicking on each of the entities in the graph will activate a pop-up menu with options for data entry, organization, linking, and task automation. This is another way you can automate business process without ever learning to code.

What can you do with a knowledge graph?

1. Knowledge graphs are ideal for organizing information. They can be used to define a model of real world objects that can be explored and queried. They can be used to create data dictionaries or taxonomies. They can even support back and forth interrogation using rule engines to explore a knowledge base (in other words, you can ask it questions) and help describe data for machine learning and AI algorithms

2. This is also a great technology for connecting individual knowledge to the growing world knowledge base to make it that much smarter. The Public resources page lists several well-known public knowledge graphs. These graphs contain information that drives business process (e.g., health billing codes, financial codes, and other professional industry standards).

 

You can create custom knowledge graphs that link to public graphs, or link to other custom graphs of partners and customers. You can also link to things that are not technically knowledge graphs.

3. Tag goes even further and lets you attach actions to knowledge graph entities. This can help automate business process and reduce the occurrence of errors or delays. Attaching actions that trigger smart content can be particularly useful.

In the past, programmers were necessary to set up something like this and that kind of customization was only within the reach of larger businesses. Now it can be a do-it-yourself project, with a little help from Tag.

Summing up

With Tag Knowledge graphs you will be able to organize data, connect to outside knowledge bases, and launch actions to automate business processes.

We'll be providing more content when the knowledge graph module is released.

nSymbol Technology Inc. is a startup company operating out of Alberta, Canada. 

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