Maintenance of a data glossary

Patent metadata

Field	Value
Publication number	US-12050866-B2
Application number	US-202017120201-A
Country	US
Kind code	B2
Filing date	Dec 13, 2020
Priority date	Dec 13, 2020
Publication date	Jul 30, 2024
Grant date	Jul 30, 2024

Abstract

A system may receive a data glossary comprising a list of terms. The system may then measure a usage dimension for a set of the terms from the list of terms. The system may select a candidate term from the set based on the usage dimension and perform a maintenance action on the candidate terms.

First claim

The invention claimed is:

1. A method comprising:
receiving a data glossary comprising a list of terms;
training a machine learning model with one or more training sets of data based on the data glossary;
measuring a usage dimension for a set of the terms from the list of terms;
selecting candidate terms from the set based on the usage dimension with the trained machine learning model, wherein the usage dimension indicates a need for definition improvement of the selected candidate terms, wherein the usage dimension is based on frequency of use and need for improvement;
determining maintenance priority for the candidate terms based on the usage dimension; and
performing a maintenance action on the candidate terms based on the selecting by the machine learning model and the maintenance priority.

2. The method of claim 1 , the selecting further comprising:
determining that a term has crossed a maintenance threshold based on the usage dimension.

3. The method of claim 2 the selecting further comprising:
providing the term to a user;
receiving, from the user, a directive to proceed with the maintenance action; and
including the term in the candidate terms.

4. The method of claim 1 , further comprising:
storing one or more relationship attributes representing a related data structure for a grouping of the terms.

5. The method of claim 4 , wherein the data structure is selected from the group consisting of a logical rule, a file, a file type, and a content type.

6. The method of claim 1 , further comprising:
skipping the performing of the maintenance action for a term based on a skip indicator in the data glossary.

7. The method of claim 1 the measuring further comprising:
using a maintenance algorithm to determine the usage dimension of a term;

including the term in the list of terms considered for the maintenance action; and
prioritizing the list of terms considered for the maintenance action based on a maintenance priority.

8. The method of claim 1 , wherein the usage dimension is based on the usage of a term by one or more users.

9. A system comprising:
a memory; and
a processor in communication with the memory, the processor being configured to perform processes comprising:
receiving a data glossary comprising a list of terms;
training a machine learning model with one or more training sets of data based on the data glossary;

measuring a usage dimension for a set of the terms from the list of terms;
selecting candidate terms from the set based on the usage dimension with the trained machine learning model, wherein the usage dimension indicates a need for definition improvement of the selected candidate terms, wherein the usage dimension is based on frequency of use and need for improvement;
determining maintenance priority for the candidate terms based on the usage dimension; and
performing a maintenance action on the candidate terms based on the selecting by the machine learning model and the priority.

10. The system of claim 9 , the selecting further comprising:
determining that a term has crossed a maintenance threshold based on the usage dimension.

11. The system of claim 10 the selecting further comprising:
providing the term to a user;
receiving, from the user, a directive to proceed with the maintenance action; and including the term in the candidate terms.

12. The system of claim 9 , the process further comprising:
storing one or more relationship attributes representing a related data structure for a grouping of the terms.

13. The system of claim 12 , wherein the data structure is selected from the group consisting of a logical rule, a file, a file type, and a content type.

14. The system of claim 9 , the process further comprising:
skipping the performing of the maintenance action for a term based on a skip indicator in the data glossary.

15. The system of claim 9 , the measuring further comprising:
using a maintenance algorithm to determine the usage dimension of a term;

including the term in the list of terms considered for the maintenance action; and
prioritizing the list of terms considered for the maintenance action based on a maintenance priority.

16. The system of claim 9 , wherein the usage dimension is based on the usage of a term by one or more users.

17. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processors to perform a method, the method comprising:
receiving a data glossary comprising a list of terms;
training a machine learning model with one or more training sets of data based on the data glossary;
measuring a usage dimension for a set of the terms from the list of terms;
selecting candidate terms from the set based on the usage dimension with the trained machine learning model, wherein the usage dimension indicates a need for definition improvement of the selected candidate terms, wherein the usage dimension is based on frequency of use and need for improvement;
determining maintenance priority for the candidate as based on the usage dimension; and
performing a maintenance action on the candidate terms based on the selecting by the machine learning model and the maintenance priority.

18. The computer program product of claim 17 , the selecting further comprising:
determining that a term has crossed a maintenance threshold based on the usage dimension.

19. The computer program product of claim 17 the selecting further comprising: providing the term to a user;
receiving, from the user, a directive to proceed with the maintenance action; and including the term in the candidate terms.

20. The computer program product of claim 17 , the method further comprising:
storing one or more relationship attributes representing a related data structure for a grouping of the terms.

Assignees

• IBM

Inventors

• Maier Albert
• Baessler Michael
• Gerstl Peter
• Suhre Oliver
• Schwarz Thomas

Classifications

• G06F11/3476

  Data logging (G06F11/14, G06F11/2205 take precedence) · CPC title

• G06F40/247 Primary

  Thesauruses; Synonyms · CPC title

• G06F40/237 Primary

  Lexical tools · CPC title

• G06F40/284

  Lexical analysis, e.g. tokenisation or collocates · CPC title

• G06F40/242 Primary

  Dictionaries · CPC title