How does the system know which places are nearby? Suppose you are staying in Deventer. Deventer is a place in Overijssel. Another place in Overijssel is Zwolle. So far, nothing exciting. In this example, the knowledge graph also looks in Wikipedia. There, the following is found about Deventer: “The village is located in the rural area between the cities of Deventer and Apeldoorn. ..” This sentence is about a village. That turns out to be Twello, which is in Gelderland, but very close to Deventer. This ensures that the knowledge graph also includes information about events in Twello. Interestingly, Wikipedia also writes about the river IJssel and the city of Apeldoorn.
Of course, in this example you can base the search on iran telegram data (geo)databases. In that case, places at a distance of X number of kilometers would have been included or places from a region, such as a province. But suppose you don't have that and your information is less structured? Then you will have to use traditional metadata or a knowledge graph more quickly.
Excellent UX with a knowledge graph
It becomes even more fun if you also take the weather into account. Then you can make recommendations for activities in the area that are suitable for a certain type of weather. Think of a good museum if it rains. Or if the weather is nice, that bike ride along the IJssel, if you are in Deventer anyway. A museum will be found in Gorssel, for example, namely Museum More. That is because this museum is presented on Tripadvisor in relation to the place Deventer.
This way, as an organization, you can find and show a lot of relevant information to your visitors via a knowledge graph, without having to add metadata yourself. This enables you to offer your customer a complete search experience and therefore better online services .
In short, a knowledge graph offers many possibilities to create a good user experience (UX). With this you add more value for the user and you can personalize more easily. We call that information-driven functionalities. Of course, people-oriented.
