Method and system for generating analogous fictional data from non-fictional data

Abstract

A method and system for generating analogous fictional data from non-fictional data, is provided. One implementation involves recording non-fictional data, scoring the non-fictional data in terms of occurrence percentile, obtaining a set of user-configurations that represents a likeness range between non-fictional data and corresponding fictional data, based on the scores and the user-configurations, generating analogous fictional data from the non-fictional data, and comparing hash values for the fictional data with hash values for the non-fictional data to determine matches, and in case of matches, generating analogous fictional data from the non-fictional data based on the scores and incrementally lowered likeness range, whereby entire records of fictional data are generated based on entire records of non-fictional data, wherein the fictional data is consistent with the non-fictional data.

1 . A computer implemented method for generating analogous fictional data from non-fictional data, comprising:
 recording non-fictional data;   scoring the non-fictional data in terms of occurrence percentile;   obtaining a set of user-configurations that represents a likeness range between non-fictional data and desired corresponding fictional data;   based on the scores and the user-configurations, generating analogous fictional data from the non-fictional data;   comparing hash values for the fictional data with hash values for the non-fictional data to detect matches between hash values of the fictional data and the non-fictional data; and   upon detecting matches, then generating analogous fictional data from the non-fictional data based on the scores and an incrementally lowered likeness range, whereby entire records of complete analogous fictional data are generated based on entire records of non-fictional data, wherein the fictional data is structurally and relationally consistent and viable with the non-fictional data, such that the generated fictional data is very close to actual non-fictional data, without actually comprising the non-fictional data.