Also read: Gartner predicts: the 5 tech trends with impact

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arzina566
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Joined: Tue Dec 17, 2024 7:08 am

Also read: Gartner predicts: the 5 tech trends with impact

Post by arzina566 »

Because you as an organization have defined and recorded entities, the types of entities and the relationships between the entities, the user can discover information that he may not even have known he was looking for. If a customer is looking for a book and only has a genre or author in mind, you as a publisher are able to show many more related books. Not as is usually done now: based on a category or other metadata, but by showing relevant information from other sources. If you take the book La Superba by Ilja Leonard Pfeiffer as an example, you will see that the city of Genoa appears frequently in the text.

Book word analysis the book 'la Superba' by Ilja Leonard Pfeiffer

Based on this information, the knowledge graph can also show travel guides for Genoa.


Relationships within the knowledge graph
You have now briefly become acquainted with iran telegram data the advantages of a knowledge graph. Now we will discuss how the graph works. To record knowledge, various knowledge models can be named. For example, there are models in which you record the meaning of and relationships between concepts. Such as the Netherlands - Gelderland, where Gelderland is a province of the Netherlands. If the search engine on your website or knowledge base uses one of these knowledge models, you can show more specific information.

For example: an article is about doping and that is related to sports. Sports also has related terms. You can use these terms as metadata for documents or products, for example. This allows you to show related documents or products. However, all documents (assets) must be metadata with these terms. Sometimes this can be done automatically, but often it still requires human brainpower. This is labor-intensive and also requires good central concept management. Managing it therefore costs time, money and is work for specialists. The knowledge graph can be a good solution, because it combines information from various information sources.

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Surprise your customer with extra information such as Airbnb
In a knowledge graph you record which sources of information can be retrieved. Think of Airbnb, they also work with a knowledge graph. The information of a B&B address is recorded in a database. This information is entered by the landlord and is validated again by the tenant. But Airbnb wants to offer its visitors more. Airbnb has used the knowledge graph for this. Airbnb shows events that take place in the searched period of stay and location. They do this by creating a link with information sources that include events.
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