The use of new tools, such as ontologies and agents, is becoming increasingly important in Web services research as they can help us analyze requests and conduct semantic searches for Web services. The main goal of this study is to propose a solution for intelligently interpreting user queries when searching for Web services. The proposed model involves the collaboration of two primary agents: a reactive agent and a cognitive agent. The reactive agent analyzes the user’s query and the cognitive agent reasons based on a relevant domain ontology, matching the concepts extracted from the query with the services already published in the UDDI registry. This approach allows for the intentions and desires of the user to be understood, and returns the most suitable service accordingly.