Knowledge Acquisition System based on JSON Schema for Electrophysiological Actuation

Data stored and transferred through the Internet increases every day. The problem with these data begins with the lack of structure, making information disperse, uncorrelated, non-transparent and difficult to access and share. The World Wide Web Consortium (W3C), proposed a solution for this problem, Semantic Web, promoting semantic structured data, like ontologies, enabling machines to perform more work involved in finding, combining, and acting upon information on the web. Using this to our advantage we created a Knowledge Acquisition System, written in JavaScript using JavaScript Object Notation (JSON) as the data structure and JSON Schema to define that structure, enabling new ways of acquiring and storing knowledge semantically structured. A novel Human Computer Interaction framework was developed based on this knowledge system, providing a Electrophysiological Actuation Mechanism. We tested this mechanism by controlling an electrostimulator.