Semantic annotation is about finding mentions of entities (such as persons, organizations, locations, dates, etc.) in texts. KIM tries to match these mentions to known entities in its Knowledge base (KB). Each entity has a unique Uniform Resource Identifier (URI), properties, description, and aliases, which when matched are attached to the mention. If there is no such entity, KIM automatically generates one with a new URI and description. This process, as well as the result, is called semantic annotation. The automatically generated metadata can later be used for indexing, retrieval, visualization, and hyper-linking of documents.
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