Similar to individuals, properties and classes have labels. Hence, when a user tries to align properties and classes, a linking algorithm should use these labels (similar to the labels of individuals) to find possible corresponding properties and classes in DBpedia. However, contrary to the alignment of individuals, the linking algorithm should only display properties and classes, respectively, and ignore individuals. Since there are often much fewer classes and properties than individuals, the linking algorithm should focus more on high recall and less on high precision.
Similar to individuals, properties and classes have labels. Hence, when a user tries to align properties and classes, a linking algorithm should use these labels (similar to the labels of individuals) to find possible corresponding properties and classes in DBpedia. However, contrary to the alignment of individuals, the linking algorithm should only display properties and classes, respectively, and ignore individuals. Since there are often much fewer classes and properties than individuals, the linking algorithm should focus more on high recall and less on high precision.