Abstract:

Aiming at the problem of non ambiguity mapping between computer languages, we proposed an ambiguity resolution algorithm for mapping from natural language to SPARQL language. The algorithm was based on the characteristics of natural language, fitting quantity of facts and the text similarity to resolve ambiguity in the process of entity mapping, fitting the text similarity and the semanticsweight of relation to resolve the ambiguity in the process of relation mapping. Experimental results show that the algorithm is effective.

Key words: ambiguity resolution, text similarity, quantity of facts; , semanticsweight of relation