System and method for context-rich database optimized for processing of concepts

Abstract

A computer-implemented method and system of disciplining data input to a multi-contextual and multi-dimensional database is described. A template identifying subject matter specific settings is provided, where the settings comprise a default ontology or taxonomy, a reserved word or phrase list, and restricted value ranges, and where the template includes a template identification and a version. A new record is generated based on the template. Alternatively, a record is generated by copying or inheriting information from an existing record in the database. A unique identification code is assigned to the record including a reference to the template identification and version. A weight is assigned to each record representing a level of diligence used at a time of data entry, where the level of diligence is dependent in part on the default ontology or taxonomy and the reserved word or phrase list.

What is claimed is: 
     
         1 . A computer-implemented method of collecting data input to a multi-contextual and multi-dimensional database, the method comprising:
 receiving input data from a first user or first device logged on to a computing system with valid credentials;   providing a template that substantially most closely matches the input data including subject matter specific settings;   generating a new record based on the template; and   assigning a unique identification code to the new record.