In this demo paper we present OmniLingo, an architecture for distributing data for listening- and speaking-based language learning applications and a demonstration client built using the architecture. The architecture is based on the Interplanetary Filesystem (IPFS) and puts at the forefront user sovereignty over data.

Artificial intelligence (AI) promises to deliver enterprises higher efficiency, increased accuracy and greater utilization of corporate information assets. But these promises can only come true if the AI is built on a solid information architecture. While many would like to believe that AI is combination of magic and pixie dust, for human-to-machine conversations to become reliable, a significant amount of foundational effort must take place. And this process begins with the basics of knowledge management. Developing a framework starts with the concept of a "domain model."