In recent years, there is an exponential growth of the number of web services in the real world. In the web service research area, the most of concerning problem is how to discover the potential web services to meet users' needs fast and accurately. Nowadays, a lot of discovery methods based on semantic are employing the ontologies of concepts among the parameters of web services interface. With content of concept, when the semantic matching is fail, they take other methods such as keyword-based matching and structure-based analysis to make up for the defect. These methods improve the precision and efficiency in the web service discovery in a certain degree. However, all of these methods dismiss the semantic similarity of Information Content. In this paper, we propose a method which employs a combination of methods based on semantic web service discovery technology and the concept of semantic similarity of the IC. It uses owls-tc 2.0 as a test set. The experiments show that our method is effective to improve the precision of web service discovery.