Data Tagging And Synchronisation System

Abstract

A computer implemented method of synchronizing data between a central database and at least one individual database including the steps of: acquiring data from at least one external source; forming an intelligence dataset, wherein the intelligence dataset includes multiple intelligence datum; storing the intelligence dataset in a central database; applying a machine learning ML tagging algorithm to the stored dataset to assign at least one tag to each intelligence datum in the stored dataset, forming a tagged intelligence dataset including multiple tagged intelligence datum; and copying each tagged intelligence datum from the central database to at least one individual database based on the assigned tag.

1 . A computer implemented method of synchronizing data between a central database and at least one individual database, comprising:
 acquiring data from at least one external source;   forming an intelligence dataset, wherein the intelligence dataset includes multiple intelligence datum;   storing the intelligence dataset in a central database;   applying a machine learning ML tagging algorithm to the stored dataset to assign at least one tag to each intelligence datum in the stored dataset, forming a tagged intelligence dataset including multiple tagged intelligence datum;   copying each tagged intelligence datum from the central database to at least one individual database based on the assigned tag.   
     
     
         2 . The method of  claim 1  wherein the acquiring comprises:
 monitoring at least one external source for a change in source data and if a change is detected, acquiring the source data related to the change. 
 
     
     
         3 . The method of  claim 2  wherein the monitoring comprises:
 checking for a change in source data based on information contained within a change alert. 
 
     
     
         4 . The method of  claim 3  wherein the information contained with the change alert includes information related to the frequency of monitoring the external source and/or information related to a keyword to appear in the change in source data. 
     
     
         5 . The method of  claim 1  wherein before applying the ML algorithm, the method further comprises:
 preparing the stored intelligence dataset in order to convert the stored intelligence dataset from raw source data to input data to be input into the ML algorithm. 
 
     
     
         6 . The method of  claim 5  wherein the preparing comprises:
 cleaning the raw source data to produce cleaned source data; and 
 converting the cleaned source data into numerical input data. 
 
     
     
         7 . The method of  claim 5  wherein the preparing comprises applying a term frequency-inverse document frequency TF-IDF algorithm to the stored intelligence dataset. 
     
     
         8 . The method of  claim 1  wherein the at least one tag corresponds to at least one individual database. 
     
     
         9 . The method of any  claim 1  wherein the applying step comprises assigning one or more tags to each intelligence datum in the stored dataset. 
     
     
         10 . The method of  claim 9  wherein the one or more tags are obtained from a pre-defined set of tags to be assigned to the intelligence data. 
     
     
         11 . The method of  claim 9 , wherein a plurality of tags are assigned to each intelligence datum, the method further including ordering the plurality of tags assigned to each intelligence datum. 
     
     
         12 . The method of  claim 11  wherein the ordering comprises:
 assigning a priority to each of the plurality of tags; and 
 ordering the plurality of tags based on the assigned priority. 
 
     
     
         13 . The method of  claim 12  wherein the assigned priorities comprise high priority tags and low priority tags, and the ordering includes ordering the tags from highest priority to lowest priority. 
     
     
         14 . A computer program comprising instructions which, when executed by a computer, cause the computer to carry out the method of  claim 1 . 
     
     
         15 . A computer-readable data carrier having stored thereon the computer program of  claim 14 .