A Method of Semantic Similarity Measure for RDF Graph
Chen Cun-heng · Jisuanji gongcheng · 2013
Aiming at the inaccuracy of structural similarity and semantic similarity in the process of measuring semantic similarity between objects represented by Resource Description Framework(RDF) graph,a method named Structure and Semantics(SAS) is proposed,which calculates semantic similarity of concept nodes by combining improved semantic distance formulas based on the network model and weight measure mechanism based on the information quantity model,and perfects the algorithm of semantic similarity of RDF graphs.SAS reflects the influence of structure,depth,density in semantic similarity of RDF graphs.Prototype system is designed and realized.Results show that the method can effectively guarantee the RDF graph is consistent with the reality.