FreeSchema

The Semantic Concept Connection System

Concepts that identify combinations of categories and types of referents. connections that identify and order the composition of various types of concept to concept connections.

This concept connection system schema emulates the semantics of english with normal determinative hardware and software independent data structures

Adaptability

Adaptable integrated ontologies and processes are organized to produce coherent, congruent super linguistic intelligence taxonomies to deictically create, locate, label, categorize, prototype, reference, connect, order, compose, combine, search, communicate, store, access, consolidate, collaborate, act-on, exchange, format, and present data.

The SCCS solution lets users identify concepts and connections to refer to data

Users identify new concepts as instances of thousands of existing concept types or create new concept types. Users name new types or simply combine categories and types of over 22,000 existing words conceptualized in the linguistic system. Users identify the connections of the concepts they select by the connection's type and order the compositions of concept to the concept connections they want to create.

The freeSchema Data Fabric: Semantic, Compact, & Platform Independent

The concept connection data fabric uses from 3-10 independent tables and 9-17 primary field names that describe data for input from programmers. The semantic ontology uses the 3-10 platform-independent tables to combine and compose concepts that describe a user's data.

Simple platform of 3-11 tables

These 11 tables can be evaluated on any hardware, software and operating system to create concepts and concept to concept connections that represent the users data.

The Schema of 17 Semantic field names

These 17 semantic variables can be manipulated to create concept categories, types and instances, connect concepts, secure and limit access to data, keep track of session information, and provide for maintenance and garbage collection.