Ontology-based pattern generator and root semantic analyser for spoken dialogue systems

This paper presents improvements in a dialogue interpreter sub-system for an application that allows the user to interact by speech with a Radio-Frequency IDentification (RFID) network working in a highly noisy environment. A new dialog framework is proposed in order to give the human operators the ability to communicate with the system in a more natural fashion. This is achieved by the implementation of the Artificial Intelligence Markup Language combined with an ontology-based pattern generation and root semantical analysis algorithms, which allows the system to respond to close-to natural language queries by means of pattern matching.