Transforming a lexicon that describes an information asset

Patent metadata

Field	Value
Publication number	US-11645464-B2
Application number	US-202117205755-A
Country	US
Kind code	B2
Filing date	Mar 18, 2021
Priority date	Mar 18, 2021
Publication date	May 9, 2023
Grant date	May 9, 2023

Abstract

Systems, computer-implemented methods, and computer program products to transform a lexicon that describes an information asset are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a term validation component that can determine from a subject matter expert, a validated term that can indicate validation of a candidate term that describes an information asset. The computer executable components can further comprise a lexicon transforming component that, based on the validated term, can transform a lexicon that describes the information asset, by incorporating the validated term into the lexicon.

First claim

What is claimed is:

1. A system comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
an expert selecting component that employs a neural network to:
analyzes a lexicon that describes the information asset to determine a subject matter of the information asset, and
based on the subject matter, selects a subject matter expert from a group of subject matter experts;

a candidate term selecting component that selects, using the neural network, based on the subject matter, a candidate term from a knowledge repository to augment the lexicon;
a term submitting component that submits the candidate term to the subject matter expert to validate the candidate term;
a term validation component that determines, based on a response from the subject matter expert, a validated term that indicates validation of the candidate term as being descriptive of the information asset; and
a lexicon transforming component that transforms, using the neural network, the lexicon that describes the information asset by incorporating the validated term into the lexicon.

2. The system of claim 1 , wherein the computer executable components further comprise:
a query augmenting component that augments a query of a knowledge base of information assets by employing the validated term of the lexicon.

3. The system of claim 1 , wherein the expert selecting component selects the subject matter expert based further on a relationship between the subject matter expert and the information asset.

4. The system of claim 3 , wherein the relationship comprises the subject matter expert being an owner of the information asset.

5. The system of claim 1 , wherein the expert selecting component selects the subject matter expert based further on:
determining that the subject matter expert has expertise regarding the information asset that exceeds a threshold.

6. The system of claim 1 , wherein the computer executable components further comprise:
a configuration component that configures the neural network based on an analysis of a group of information assets.

7. The system of claim 1 , wherein the computer executable components further comprise:
a keyword identifying component that identifies, by employing distributional semantics, a salient keyword describing the information asset based on an analysis of textual content describing the information asset; and
wherein the candidate term selecting component selects the salient keyword as the candidate term.

8. A computer-implemented method comprising:
analyzing, by a device operatively coupled to a processor, using a neural network, a lexicon that describes the information asset to determine a subject matter of the information asset;
selecting, by the device, using the neural network, based on the subject matter:
a subject matter expert from a group of subject matter experts, and
a candidate term from a knowledge repository to augment the lexicon;

submitting, by the device, the candidate term to the subject matter expert to validate the candidate term;
determining, by the device, based on a response from the subject matter expert, a validated term that indicates validation of the candidate term as being descriptive of the information asset; and
transforming, by the device, using the neural network, the lexicon that describes the information asset by incorporating the validated term into the lexicon.

9. The computer-implemented method of claim 8 , further comprising:
augmenting, by the device, a query of a knowledge base of information assets by employing the validated term of the lexicon.

10. The computer-implemented method of claim 8 , wherein the selecting the subject matter expert comprises selecting the subject matter expert based further on a relationship between the subject matter expert and the information asset.

11. The computer-implemented method of claim 10 , wherein the relationship comprises the subject matter expert being an owner of the information asset.

12. The computer-implemented method of claim 8 , wherein the selecting the subject matter expert comprises: determining that the subject matter expert has expertise regarding the information asset that exceeds a threshold.

13. The computer-implemented method of claim 8 , further comprising:
configuring, by the device, the neural network based on an analysis of a group of information assets.

14. The computer-implemented method of claim 8 , wherein the selecting the candidate term comprises:
identifying, using distributional semantics, a salient keyword describing the information asset based on an analysis of textual content describing the information asset; and
selecting the salient keyword as the candidate term.

15. A computer program product that transforms a lexicon that describes an information asset, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
analyze, using a neural network, a lexicon that describes the information asset to determine a subject matter of the information asset;
select, using the neural network, based on the subject matter:
a subject matter expert from a group of subject matter experts, and
a candidate term from a knowledge repository to augment the lexicon;

submit the candidate term to the subject matter expert to validate the candidate term;
determine, based on a response from the from a subject matter expert, a validated term that indicates validation of the candidate term as being descriptive of the information asset; and
transform, using the neural network, the lexicon that describes the information asset by incorporating the validated term into the lexicon.

16. The computer program product of claim 15 , wherein the program instructions further cause the processor to augment a query of a knowledge base of information assets by employing the validated term of the lexicon.

17. The computer program product of claim 15 , wherein the selecting the subject matter expert comprises selecting the subject matter expert based further on a relationship between the subject matter expert and the information asset.

18. The computer program product of claim 15 , wherein the relationship comprises the subject matter expert being an owner of the information asset.

19. The computer program product of claim 15 , wherein the selecting the subject matter expert comprises:
determining that the subject matter expert has expertise regarding the information asset that exceeds a threshold.

20. The computer program product of claim 15 , wherein the program instructions further cause the processor to configures the neural network based on an analysis of a group of information assets.

Assignees

• IBM

Inventors

• Gentile Anna Lisa
• Deluca Chad Eric
• Ristoski Petar
• Lourentzou Ismini
• Kato Linda Ha
• Alba Alfredo
• Gruhl Daniel
• Welch Steven R

Classifications

• G06F40/30

  Semantic analysis · CPC title

• G06F16/334

  Query execution (filtering based on additional data G06F16/335) · CPC title

• G06F40/216

  using statistical methods · CPC title

• G06F40/247

  Thesauruses; Synonyms · CPC title

• G06N3/042

  Knowledge-based neural networks; Logical representations of neural networks · CPC title