Method and system for processing semantic fragments

Abstract

The present invention discloses a method and system for processing semantic fragments. Some embodiments of the present invention provides a method for processing semantic fragments. The method comprises: obtaining a plurality of groups of semantic fragments, the plurality of groups of semantic fragments at least including a first group of semantic fragments generated from a first data processing flow and a second group of semantic fragments generated from a second data processing flow, the first data processing flow being different from the second data processing flow; and merging the first group of semantic fragment and the second group of semantic fragment based on semantic equivalence. A corresponding system is also disclosed.

What is claimed: 
     
         1 . A method comprising:
 receiving an input data set;   extracting, by a machine logic based semantic engine, a plurality of business fragments; and   merging, by machine logic and in a multi-entry and multi-exit manner, the plurality of business fragment to obtain a merged item, with the merging being based, at least in part, upon merged item granularity, merged sequence, and merging criteria.   
     
     
         2 . The method of  claim 1  further comprising:
 comparing the plurality of business fragments. 
 
     
     
         3 . The method of  claim 2  further comprising:
 generating a similarity table for the business fragments. 
 
     
     
         4 . The method of  claim 1  wherein the merging criteria include semantic equivalence criteria. 
     
     
         5 . The method of  claim 1  wherein all of the operations are performed automatically and without substantive human intervention. 
     
     
         6 . A computer program product comprising:
 a machine readable storage device; and   computer code stored on the machine readable storage device, with the computer code including instructions for causing a processor(s) set to perform operations including the following:   receiving an input data set,
 extracting, by a machine logic based semantic engine, a plurality of business fragments, and 
   merging, by machine logic and in a multi-entry and multi-exit manner, the plurality of business fragment to obtain a merged item, with the merging being based, at least in part, upon merged item granularity, merged sequence, and merging criteria.   
     
     
         7 . The computer program product of  claim 6  wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation:
 comparing the plurality of business fragments. 
 
     
     
         8 . The computer program product of  claim 7  wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation:
 generating a similarity table for the business fragments. 
 
     
     
         9 . The computer program product of  claim 6  wherein the merging criteria include semantic equivalence criteria. 
     
     
         10 . The computer program product of  claim 6  wherein all of the operations are performed automatically and without substantive human intervention. 
     
     
         11 . A computer system comprising:
 a processor(s) set;   a machine readable storage device; and   computer code stored on the machine readable storage device, with the computer code including instructions for causing the processor(s) set to perform operations including the following:   receiving an input data set,
 extracting, by a machine logic based semantic engine, a plurality of business fragments, and 
 merging, by machine logic and in a multi-entry and multi-exit manner, the plurality of business fragment to obtain a merged item, with the merging being based, at least in part, upon merged item granularity, merged sequence, and merging criteria. 
   
     
     
         12 . The computer system of  claim 11  wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation:
 comparing the plurality of business fragments. 
 
     
     
         13 . The computer system of  claim 12  wherein the computer code further includes instructions for causing the processor(s) set to perform the following operation:
 generating a similarity table for the business fragments. 
 
     
     
         14 . The computer system of  claim 11  wherein the merging criteria include semantic equivalence criteria. 
     
     
         15 . The computer system of  claim 11  wherein all of the operations are performed automatically and without substantive human intervention.