A Semantic Similarity Algorithm for Geographic Information Service Matching

Abstract

In this paper, based on the analysis of two types of semantic similarity algorithm: the concept of the amount of information algorithm and the concept of distance method, combined with geographic information services matching their own characteristics, one for geographic information services matching semantic similarity algorithm in enhance distinguishing ability of geographic information services at the same time, a substantial increase in the efficiency of service matching. The prototype system experiments prove the feasibility and effectiveness of the algorithm.