Symbel Technologies

symbel is a way to visualize data, language, to think and to know, aiming at introducing a natural language-based approach to the handling of data. Our whitepaper outlines the main idea. Potentially, the concept can be applied in various technological and commercial fields. A patent, which will protect the idea generically, is in process. The linguistic approach on data is becoming more and more prevalent. Today, deep data algorithms can read, interpret, translate, and compute complex information. symbel however, represents an open and universal understanding where technology becomes transparent and accessible for everyone. With a normal user-approach and with moderate efforts any person can empower him or herself – individually or in groups - to master the very foundational logical structures of the information society, which up until this day has been a domain reserved for specialists. A simple but fundamental insight is that the logical connection between any pieces of data can be rendered structurally by means of either tables or folders or combinations thereof, mathematically spoken the term for table and folder being n-dimensional array respectively hierarchy. By using the principles of The Ordinal Fraction Method - a number-based algorithm developed in the 1980ies by the danish mathematician Bo Jacoby - it is possible to form mathematical structures of contextualized data (or information) that emulates natural language, although in a simpler, strictly logical, and therefore computable form. By following a set of simple rules, the algorithm offers the possibility of generating information structures of any complexity. However, since numbers are too abstract to read as structural codes, it is only through the development of symbel - the visual interface of the algorithm - that we can gauge its practical and commercial application.