Knowledge is a mental model of reality that allows us to envision a world that may or not come to pass, depending on our actions. The ability to “predict the phenomena” is the cornerstone of the scientific method, one that was already in play when the first human progenitor made the first tool and used it to change its world.
Until now our machines could not do this – not even a little. They process data and information, but processing knowledge has been beyond their capability. Although knowledge representation has been considered a branch of Artificial Intelligence for more than 40 years, previous approaches, rule-based expert systems and semantic networks, could never be made to scale beyond the level of narrow applications. Disappointment with these technologies eventually led the AI researchers to largely abandon attempts to model knowledge altogether.
But achieving functional knowledge models has turned out to be possible after all. What was missing was insights into knowledge itself, that it has an underlying structure independent of logic or semantics. Our Compact Knowledge Model technology exploits this structure, enabling for the first time ever, representation of abstract knowledge as it is introspected in the human mind, within a computer. Read more about the difference between data, information and knowledge.