The emergence of semantic sensor Web provides a way for realizing data interoperability, information sharing, and knowledge fusion among the different sensor systems in the Internet of Things (IoT). In this study, taking some sensors and corresponding data acquisition instruments as examples, the ontology based on the Semantic Sensor Network (SSN) proposed by World Wide Web Consortium is designed for providing the meaning background information and the knowledge organization about the sensor systems on the Web. Automatic classification management is realized by using this ontology, and the collection between the sensors and the instruments can be recommended according to the reasoning rules. The efficiency and the reliability of system are improved, and the domain knowledge can be also combined into the system. Finally, the reasoning rules are tested with the specific sensor example and the results meet the application requirements.