Semantic databases are a special type of database that allow data to be stored and queried in a way that takes into account their meaning and interrelationships. The aim of this thesis is to present and compare some of the most widely used solutions in the field of semantic databases. The thesis is divided into two parts. The first part defines the criteria for comparing different semantic database providers, and describes and compares their solutions. The second part describes the testing methods and the implementation plan of the databases. In the practical part, we perform the testing according to the set test scenarios. In the conclusion, key conclusions are given with respect to the presented semantic databases.
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