增强语义的地理信息服务匹配相似性算法探讨

A similarity algorithm for geographic information service matching with enhanced semantic

针对服务匹配技术存在缺乏定量分析能力和匹配精度不高等问题。该文在总结地理信息服务及服务匹配过程特点的基础上,有机地融合了概念信息量算法和概念距离算法的优势,提出一种增强语义的地理信息服务匹配相似性算法,并通过原型系统的实现证明了该算法的可行性和有效性。

Semantic similarity algorithm,which is the basis of service matching technology,is the decisive factor to enhance the ability to differentiate and optimize the efficiency of service matching.In this paper,on the basis of summing up the characteristics of geographic information services and service matching process,combining the advantages of the conceptual information amount algorithm and the conceptual distance algorithm,it proposed a semantic similarity algorithm for geographic information service matching.Through the prototype system,it proved the feasibility and effectiveness of the algorithm finally.