Cognitive suggestion of Business Glossary match with Information Assets
Publication Date: 2017-Aug-04
The IP.com Prior Art Database
Nowadays Data Governance has become very important in every company data infrastructure. In
the center of Data Governance systems, there is Business Glossary, holding business terms
which might be then related to certain Information Assets. Such fitting is allowing easier
recognition of content or purpose of Information Asset. When usage of such prepared
environment is usually easy and convenient, creation of those associations is long and heavy
We are proposing cognitive solution that will learn best matches of Information Assets and
Business Glossary terms based on already created environments.
First we need to make some definitions of Business Glossary Assets and Information Assets, so
further usage of those terms is fully understood.
In Business Glossary (which might be some database with user interface), there are stored
Business Glossary Assets (BGA). Such Assets might be:
- Categories - Terms - Governance Rules - Governance Policies
Each of those are words or sentences that are describing business of the company.
- Categories: Documents, Invoices - Terms: Customer Name, Customer Address, Invoice Number - Governance Policy: Ensure Invoice Correctness - Governance Rules: Check correctness of Customer Address, Check correctness of
Terms can be divided into Categories and Rules into Policies. So in our example We can have
following tree of Terms:
Documents -> Invoices -> Customer Name, Customer Address, Invoice Number
Ensure Invoice Correctness -> Check correctness of Customer Address, Check correctness of