Study on Folksonomy-based webservice discovery

To solve traditional classification system's problems of coarse-grain classification and high costmaintenance,a Folksonomybased web service discovery model is proposed and its concrete realization method is deeply analyzed.The disadvantages of Folksonomy mechanism are analyzed,and a series of measures are taken according to that.The collaborative tagging system environment is simulated by programming,and a simulation experiment is conducted in it.Experimental results prove that the mechanism can realize more efficient web service classification retrieval,and the improvements applied to Folksonomy have positive impacts on both recall ratio and precision ratio.