Knowledge Discovery Based on Graphs

Abstract

In the same way as relational databases organize data in the form of tables, graph databases do in the form of graphs. One of the main reasons that could lead us to use a database based on graph BDBG, is that the importance lies largely in relations between entities, such as for example applications of fashion such as social networks, mining data, among others. All of these meet this kind of conditions. Now, a very important feature of the BDBG, is that the most important information is not in the nodes, but in relations between these same is important especially in social networks in which the thing is complicated when we begin to see relations not only between individuals but between their activities. Hence the difference with relational databases and objects, which give priority to data, and relationships are a way to navigate between them. On the other hand, with a content based on the user, it is very difficult to preconcebir the exact schema of data to handle. Therefore the relational bond, they need not dynamic initial schemes, while the BDBG can withstand the dynamism of the information. If the main objective is to analyze the relationships between the entities, it will try to persuade the reader of the strength of the evidence that supports the point of view I try to expose.