The research of semantic similarity algorithm consideration of multi-factor ontology-based in access control

This article adopts the method of role mapping, which is based on semantic to solve the problem how to access control in information integration. For the algorithm of single semantic similarity is not good in improving accuracy of similarity, a noble algorithm model is proposed, which calculates semantic similarity between concepts taking many impressive factors in ontology hierarchical relationship into consideration. The model considers information quantity of conceptive property, node depth, node density and asymmetry decided factors based on distance-based algorithm model. Hence, the model improves the accuracy of similarity. The experiment shows that the model calculates similarity of relative concepts fully using properties of ontology and includes weight-adjustable parameters. The experiment verifies that the results are more close to what is from expert judgment in aspects of deviation and compatibility.