Mining Service Tags with Enriched Information from the Internet

Recently it receives extensive concerns that mining tags from WSDL documents, since service tags are widely used for better utilization of web services. However, most WSDL documents lack contents, which lead to great limitation for service tag mining. In this paper, we propose a novel approach to retrieve and extract service tags by leveraging information from the Internet. Our approach retrieves service related web pages by searching online for the URL of the services, then executes a Vector Space Model (VSM) based procedure to fulfill structure analysis and content extraction of the pages, finally mines service related tags together with WSDL documents. Experiments on real web services demonstrate the effectiveness of our approach, which is able to extract more number of abundant and meaningful tags.