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Goal-oriented dialogue systems typically communicate with a backend (e.g.database, Web API) to complete certain tasks to reach a goal. The intents thata dialogue system can recognize are mostly included to the system by thedeveloper statically. For an open dialogue system that can work on more than asmall set of well curated data and APIs, this manual intent creation will notscalable. In this paper, we introduce a straightforward methodology for intentcreation based on semantic annotation of data and services on the web. Withthis method, the Natural Language Understanding (NLU) module of a goal-orienteddialogue system can adapt to newly introduced APIs without requiring heavydeveloper involvement. We were able to extract intents and necessary slots tobe filled from schema.org annotations. We were also able to create a set ofinitial training sentences for classifying user utterances into the generatedintents. We demonstrate our approach on the NLU module of a state-of-the artdialogue system development framework.

Intent Generation for Goal-Oriented Dialogue Systems based on Schema.org Annotations