LAUSR

The rapid development and popularity of IoT technology has reshaped the way people interact with the real world. Many researchers have attempted to build natural language interfaces for IoT platforms, but have not produced much progress in parsing natural language commands that contain multiple operations and more complex logical structures. In this paper, we propose IoT-NLI, a natural language query and control interface for popular IoT platforms, which uses hierarchical semantic parsing algorithms and directed edge-tagged graph structures to efficiently parse natural language commands input by users, enabling them to perform multiple operations contained in one complex natural language command. Experiments in three domains, agriculture, industry, and smart home, show that IoT-NLI has excellent performance and reasonable response time. Finally, a IoT-NLI application was developed on the Android platform and integrated with the AliCloud platform. It enables users to query and control devices on Android phones through chat windows similar to instant messaging software.