Context-based Disambiguation using Wikipedia

This paper addresses the problem of semantic ambiguity, identified in a previous work where we presented an algorithm for quantifying semantic relatedness of entities characterized by a set of features, potentially ambiguous. We propose to solve the feature ambiguity problem by determining the context defined by the non-ambiguous features and then using this context to select the most adequate interpretation of the ambiguous features. As a result, the entity semantic relatedness process will be improved by reducing the probability of using erroneous features due to ambiguous meaning.