are some of the common semantic labelling tasks presented in the literature:

Entity linking and disambiguation

This is the most common task in semantic labelling. Given a text of a cell and a data source, the approach predicts the entity and link it to the one identified in the given data source. For example, if the input to the approach were the text "Richard Feynman" and a URL to the SPARQL endpoint of DBpedia, the approach would return "", which is the entity from DBpedia. Some approaches use exact match. while others use

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