Patent AU-2021104731-A4 (AU)
Title: Business Aligned Knowledge Management System from Unstructured data using Convolutional Neural Network
Inventor: CHANSORIYA MUKESH
IPC: G06Q10/00
Filed: 2021-07-30
Granted: 2021-10-07
Abstract: Business Aligned Knowledge Management System from Unstructured data 
using Convolutional Neural Network 
ABSTRACT 
The present invention relates to a system and method for business aligned knowledge 
management system from unstructured data using convolutional neural network to 
solve business problems in an organization using convolutional neural network for 
achieving business objectives. The objective of present invention is to solve the 
anomalies presented in the prior art techniques and using advanced technique for 
providing business aligned knowledge from unstructured data to solve problem 
statements. The disclosure presents a business aligned knowledge management 
system which comprises a central server which is backed by two main components 
BAKMS extraction engine and BAKMS execution engine that are based on 
convolutional neural network models which are competent enough to learn 
themselves and provides an automatic and self-learned system for providing business 
aligned knowledge. The proposed invention comprises a server storing the data 
related to the business of an organization, test cases and past data to train 
convolutional neural network model and schema definition. The said data is stored in 
the database. The server involved in the present invention is convolutional neural 
network (CNN) enabled server. The present invention discloses a computer 
implemented method for business aligned knowledge management system from 
unstructured data using convolutional neural network, the method comprises: 
retrieving the unstructured data from the data source; BAKMS extraction engine 
performing the steps of: converting the identified data into structured data based on 
predefined schema; analyzing and processing the structured data using basic classifier 
based on convolutional neural network to classify the same as business aligned 
knowledge; BAKMS execution engine performing the steps of : defining the business 
goal and problem statement of business of the organization; identify the type of 
knowledge needed for solving problem statement i.e., explicit knowledge or tacit 
knowledge; segregate the knowledge into explicit knowledge and tacit knowledge 
using advanced classifier which is based on convolutional neural network; identify the 
process and tools to solve problem statement; applying the identified type of 
knowledge to identified process/tools to solve problem statement.  
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retrieving the unstructured data from the data source (201) 
converting the identified data into structured data based on 
predefined schema by BAKMS extraction engine (202) 
analyzing and processing the structured data using basic classifier to 
classify the same as business aligned knowledge (203) 
defining the business goal and problem statement of business of the 
organization by BAKMS execution engine (204) 
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identify the type of knowledge for solving problem statement i.e., 
explicit knowledge or tacit knowledge by BAKMS execution engine 
(205) 
segregate the knowledge into explicit knowledge and tacit knowledge 
using advanced classifier (206) 
identify the process and tools to solve problem statement (207) 
applying the identified type of knowledge to identified process/tools to 
solve problem statement (208) 
Figure 2 - Flow-diagram of the method for business aligned knowledge management system 
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