Concept Taxonomy is a normalized comprehensive natural language schema for the ontology to humanize data facilitating the collaboration, communication, storage, retrieval and knowledge of all types of information across disciplines and languages

摘要

Concept Taxonomy data structure and naming system, is a normalized schema and ontology for secure universal storage, retrieval and back-up of information which parallels natural language, thought and etymology. Concept Taxonomy is the implementation and classification of a method to intuitively conceptualize, categorize, characterize, locate and compose any type of information. Concepts are elucidated by the compositions of propositions of predicate thought concepts to referent object concepts. The normalized data structure allows for maximum compactness and control of data, removing redundancy and storing each individual piece of data only once.