1. A method for automatically providing an overall semantic similarity score value among named entities, comprising: calculating, for each pair in at least a selection of pairs of the named entities, a pair semantic similarity score value according to a classifier using at least one electronic information source; calculating, for each of the pairs in the selection of the pairs of the named entities, a further pair semantic similarity score value according to a further classifier using the at least one electronic information source; and calculating, for each of the pairs in the selection of the pairs of the named entities, an overall semantic similarity score value as a first function of the pair semantic similarity score value and the further pair semantic similarity score value corresponding thereto.
1. A method for automatically providing an overall semantic similarity score value among named entities, comprising: calculating, for each pair in at least a selection of pairs of the named entities, a pair semantic similarity score value according to a classifier using at least one electronic information source; calculating, for each of the pairs in the selection of the pairs of the named entities, a further pair semantic similarity score value according to a further classifier using the at least one electronic information source; and calculating, for each of the pairs in the selection of the pairs of the named entities, an overall semantic similarity score value as a first function of the pair semantic similarity score value and the further pair semantic similarity score value corresponding thereto. 15. The method according to claim 1 , further comprising calculating a communality of at least one pair of the named entities, the communality corresponding to a subset of a set of the named entities, a sub-path or links to resources related to each named entity of a respective pair of the named entities.