Towards a Data Driven Natural Language Interface for Industrial IoT Use Cases
- Resource Type
- Conference
- Authors
- Gui, Zhou; Harth, Andreas
- Source
- 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS) Human-Machine Systems (ICHMS), 2021 IEEE 2nd International Conference on. :1-3 Sep, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Conferences
Natural languages
Semantics
Systems architecture
Smart homes
Internet
Smart devices
Natural Language Interface
Industrial Internet of Things
Semantic Representation
Knowledge Graph
- Language
The ubiquitous availability of sensors and smart devices makes IoT networks more and more complex to manage and control. A natural language interface (NLI) would allow users to interact with the devices via human language by translating the user command into a machine-interpretable meaning representation, often called logical forms.Despite the rapid development of conversational interfaces in smart home and personal intelligent assistant use cases, there are limited research and applications in industrial sensor and actuator networks, usually referred to as Industrial Internet of Things (IIoT). In this paper, we show an early phase design principle of a semantic representation to express IIoT device interactions and propose a data-focused workflow of IIoT automation system architecture.