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. 10. The method according to claim 1 , wherein the named entities are organized in a tree structure, and wherein said calculating the pair semantic similarity score value uses a second function of a position of respective named entities in the tree structure.