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Entitylinking is the process of automatically linkingentity mentions from text to the corresponding entries in a knowledge base. Usually, entitylinking consists of two main tasks – named entity recognition and entity disambiguation.
Linkingentities in text to knowledge bases A necessary step in analyzing multilingual content is linking mentions of entities in text (general concepts or named entities) in different languages to a commonknowledge base. How does multilingual entitylinking work?
What’s the difference between a graph and a knowledge graph? Standards-based entitylinking contributes to all three of these goals because it makes it easier to add new, related data that provides context to other entities stored in a GraphDB model. You can play with this service interactively at [link].
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