- [Instructor] The third use case for knowledge graphs
is to create a knowledge base for artificial intelligence.
The analysis of vast amounts of text documents
using machine learning can be supported
with knowledge graphs to improve the results.
This is also sometimes called machine teaching.
The creation of a knowledge base
for artificial intelligence enables
text mining algorithms and chatbots
to deliver better results.
The domain knowledge is stored in a knowledge graph
in a structured way is used
when the machine learning process analyzes the text corpus.
Now we want to look at an example
where we use knowledge graphs
to better manage business contracts.
We upload several contracts
to the PoolParty knowledge graph application,
and define the legal classes we are interested in.
For example, classes in the context
of insurance and confidentiality.
The text of all contracts is analyzed
by the semantic engine.
The relevant classes in the context
of confidentiality are highlighted.
In this example, we see that a sentence was highlighted
because it contains the word disclosure and party.