Search data curation and enrichment for deployed technology

Patent metadata

Field	Value
Publication number	US-11386170-B2
Application number	US-202016835926-A
Country	US
Kind code	B2
Filing date	Mar 31, 2020
Priority date	Mar 31, 2020
Publication date	Jul 12, 2022
Grant date	Jul 12, 2022

Abstract

A content engine may utilize a configuration management database (CMDB) to manage a configuration of a technology landscape. A curation manager 102 may utilize a plurality of article sources to provide, in collaboration with the content engine, a plurality of enriched articles that are specific to the technology landscape. The enriched articles enable an IT administrator using the content engine to execute IT administration duties in a fast, efficient, reliable, and timely manner.

First claim

What is claimed is:

1. A computer program product, the computer program product being tangibly embodied on a non-transitory computer-readable storage medium and comprising instructions that, when executed by at least one computing device, are configured to cause the at least one computing device to:
receive configuration data from landscape inventory data characterizing configuration items of information technology (IT) assets of a technology landscape;
receive articles collected from article sources identified as being potentially relevant to the technology landscape;
generate, for each article, at least one topic, based on the configuration data, including a relevancy metric characterizing a degree of relevance of each article to each corresponding topic;
store the articles with reference to each corresponding topic and relevancy metric;
select, for the technology landscape, prioritized articles from the articles, based on the landscape inventory data, the topics, and the relevancy metrics;
identify relevant configuration items of the configuration items that correspond to the prioritized articles; and
update each of the prioritized articles with enrichment information identifying article portions of the prioritized articles related to the relevant configuration items, to thereby obtain enriched articles, including identifying the relevant configuration items within the enrichment information.

2. The computer program product of claim 1 , wherein the landscape inventory data is stored using a configuration management database (CMDB).

3. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
collect the articles from network-available articles, based on the configuration data.

4. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
generate the at least one topic generation using a machine learning algorithm parameterized using the configuration data.

5. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
select the prioritized articles based on the configuration items.

6. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
select the prioritized articles based on relationships between the configuration items within the technology landscape, as determined from the landscape inventory data.

7. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
select the prioritized articles based on a recency score assigned to each article, the recency score being based on corresponding publication dates of the articles.

8. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
select the prioritized articles based on a threat level assigned to the topic and to the configuration data.

9. The computer program product of claim 1 , wherein the instructions, when executed, are further configured to cause the at least one computing device to:
enrich at least one of the prioritized articles with enrichment information including a link to at least one corresponding configuration item of the configuration items, provided in conjunction with a corresponding article portion of the at least one of the prioritized articles.

10. A computer-implemented method, the method comprising:
receiving configuration data from landscape inventory data characterizing configuration items of information technology (IT) assets of a technology landscape;
receiving articles collected from article sources identified as being potentially relevant to the technology landscape;
generating, for each article, at least one topic, based on the configuration data, including a relevancy metric characterizing a degree of relevance of each article to each corresponding topic;
storing the articles with reference to each corresponding topic and relevancy metric;
selecting, for the technology landscape, prioritized articles from the articles, based on the landscape inventory data, the topics, and the relevancy metrics;
identifying relevant configuration items of the configuration items that correspond to the prioritized articles; and
updating each of the prioritized articles with enrichment information identifying article portions of the prioritized articles related to the relevant configuration items, to thereby obtain enriched articles, including identifying the relevant configuration items within the enrichment information.

11. The method of claim 10 , wherein the landscape inventory data is stored using a configuration management database (CMDB).

12. The method of claim 10 , further comprising:
generating the at least one topic generation using a machine learning algorithm parameterized using the configuration data.

13. The method of claim 10 , further comprising:
selecting the prioritized articles based on the configuration items.

14. The method of claim 10 , further comprising:
selecting the prioritized articles based on relationships between the configuration items within the technology landscape, as determined from the landscape inventory data.

15. The method of claim 10 , further comprising:
selecting the prioritized articles based on a recency score assigned to each article, the recency score being based on corresponding publication dates of the articles.

16. The method of claim 10 , further comprising:
selecting the prioritized articles based on a threat level assigned to the topic and to the configuration data.

17. The method of claim 10 , further comprising:
enriching at least one of the prioritized articles with enrichment information including a link to at least one corresponding configuration item of the configuration items, provided in conjunction with a corresponding article portion of the at least one of the prioritized articles.

18. A system comprising:
at least one memory including instructions; and
at least one processor that is operably coupled to the at least one memory and that is arranged and configured to execute instructions that, when executed, cause the at least one processor to
receive configuration data from landscape inventory data characterizing configuration items of information technology (IT) assets of a technology landscape;
receive articles collected from article sources identified as being potentially relevant to the technology landscape;
generate, for each article, at least one topic, based on the configuration data, including a relevancy metric characterizing a degree of relevance of each article to each corresponding topic;
store the articles with reference to each corresponding topic and relevancy metric;
select, for the technology landscape, prioritized articles from the articles, based on the landscape inventory data, the topics, and the relevancy metrics;
identify relevant configuration items of the configuration items that correspond to the prioritized articles; and
update each of the prioritized articles with enrichment information identifying article portions of the prioritized articles related to the relevant configuration items, to thereby obtain enriched articles, including identifying the relevant configuration items within

Assignees

• Bmc Software Inc

Inventors

• Anderson Eric Michael
• Iyer G S Narayan
• Kumar Ajoy

Classifications

• G06Q10/0635

  Risk analysis of enterprise or organisation activities · CPC title

• G06Q10/20

  Administration of product repair or maintenance · CPC title

• G06N20/00

  Machine learning · CPC title

• G06Q10/10

  Office automation; Time management · CPC title

• G06F16/9538

  Presentation of query results · CPC title