As the E-commerce is done faster, there is a continuous flourishing of E-marketplaces. Matchmaking is an important aspect of e-commerce interactions. Recently, an approach has been taken to service matchmaking based on semantic web technologies; the designed matching rule can be used to find the sellers? compatible advertisements for buyers. In this paper we define three categories of attributes for the matchmaking service. Then we present three factors: Semantic Matching Degree, Semantic Support and Relational Confidence to capture the semantic characteristics and relationships of the attributes. And we design a semantic ranking MSC combining the three factors to rank the results of advertisements matchmaking. MSC can capture the semantic aspect of matchmaking results; evaluation shows that MSC makes the process of matchmaking more accurately and the advertisement with the highest MSC is better.