Deriving a hierarchical event based database having action triggers based on inferred probabilities

A computer implemented method for building a database capable of inferring a probability of a first inference, the computer implemented method comprising:

• establishing a database structure, wherein the database structure is adapted to receive a plurality of divergent data, wherein in the database the plurality of divergent data includes a plurality of cohort data, wherein the database is adapted such that each datum of the plurality of divergent data in the database is conformed to dimensions of the database, wherein the database is further adapted such that each datum of the plurality of divergent data has associated metadata and an associated key, wherein the associated metadata comprises data regarding cohorts associated with corresponding datum, data regarding hierarchies associated with the corresponding datum, data regarding a corresponding source of the datum, and data regarding probabilities associated with integrity, reliability, and importance of each datum;
• establishing a first set of rules for the database structure, the first set of rules comprising rules for determining a second set of rules to be applied to a query submitted to the database, wherein the second set of rules are at least determined that a fact submitted with the query will serve as a frame of reference when executing the query, wherein the frame of reference is established to generate associations among cohorts of the plurality of cohort data, wherein the cohorts are a group of associated individuals or objects sharing a common characteristic, wherein the associations are automatically generated using data stored at an atomic level, wherein the second set of rules determine a search space for the query, and wherein the second set of rules are adapted to create the probability of the first inference, wherein the probability of the first inference is determined from comparing the plurality of data according to the second set of rules using the fact as the frame of reference;
• receiving a plurality of divergent data in the database;
• conforming the plurality of divergent data to the dimensions of the database to form a plurality of conformed data;
• associating the metadata and a key with each datum in the plurality of conformed data;
• establishing a third set of rules for executing an action trigger responsive to at least one of a) the probability of the first inference exceeding a first pre-selected value, b) a significance of the first inference exceeding a second pre-selected value, c) a rate of change in the probability of the first inference exceeding a third pre-selected value, d) an amount of change in the probability of the first inference exceeding a fourth pre-selected value, and e) combinations thereof;
• and
• storing the database structure.