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A Semantic Calculus: Common Sense Reasoning for Information Systems

With the continuing goal of discovering a theoretical foundation to have information systems think more like humans, this paper shows that as information systems explode in size and complexity, the notion that technologies such as Big Data, Deep Neural Networks, Graphic Processing Units, Artificial Intelligence and Machine Learning can keep up to the pace that information systems are exploding, has failed. 80% of the trillions of petabytes being stored on information systems every day, are being stored by unsophisticated end users, and that's just the start of the chaos. In essence we are drowning in data and we need a new technology to take us the surface so we can breathe. In this paper, the author explores the viability of combining sentiment analysis, and semantic intelligence into the paradigm of a common-sense semantic calculus, specifically designed for Information Systems.