Neural network structure. The input into this network is a vector , which consists of s1, s2, and s3, representing the similarity in name, properties, and ancestors, respectively, for a given pair of concepts. w
are weights assigned to each input. The output from this network is s, the similarity value between these two concepts as given by Formula 3.