A rule-based Expert System: Speakeasy - Smart Drink Dispenser

In this paper, we develop a knowledge-based expert system case study called Speakeasy Expert System (S.E.S.) for exercising the rule-based expert system programming in both CLIPS and VisiRule. CLIPS stands for “C Language Integrated Production System” and it´s an expert system tool created to facilitate the development of software to model human knowledge or expertise. VisiRule is a tool that allows experts to build decision models using a graphical paradigm, but one that can be annotated using code and or Boolean logic and then executed and exported to other programs and processes. Nowadays, there are billions of computing devices are interconnected in computing and communications. These devices include from various desktop personal computers, laptops, servers, embedded computers to small ones such as mobile phones. This growth shows no signs of slowing down and becomes the cause of a new technology in computing and communications. This new technology is called Internet of Things (IOT). In this study, we propose and extend the S.E.S into a Smart Drink Dispenser using IOT Technology. We present Data Flow Diagram of S.E.S in IOT Environment and its IOT architecture, and propose the usage and implementation of S.E.S.