System for requirement identification and analysis based on capability model structure

• US 8,671,101 B2
• Filed: 04/30/2013
• Issued: 03/11/2014
• Est. Priority Date: 02/19/2010
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Verma, Kunal, Vasquez, Reymonrod G., Kass, Alex, Sarkar, Santonu, Sharma, Vibhu
• Primary Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US13/873,903
• Publication Number:
  US 20130246442A1
• Time in Patent Office: 315 Days
• Field of Search: 707/748, 707/802, 707/803, 707/805, 704/9
• US Class Current: 707/748
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A textual analysis system is configured to compare textual content of textual statements. The textual analysis system is configured to score the textual content of a first textual statement and a second textual statement. Based on the score, the textual analysis system may determine a level of correspondence between the first textual statement and the second textual statement. The textual analysis system is configured to generate an interactive visual representation of the correspondence levels between the first statement and the second statement. The visual representation may be transmitted to a display.

Claims

1. A system for textual similarity identification, the system comprising:

a database configured to store a first set of textual statements and a second set of textual statements;

a memory configured to store a textual analysis module;

a processor in communication with the memory, wherein the processor is configured to execute the textual analysis module to;

retrieve the first set of textual statements and the second set of textual statements from the database;

generate a statement pair, wherein the statement pair includes a textual statement from the first set and a textual statement from the second set;

determine a plurality of sub-scores for the statement pair representing a level of similarity between the textual statement from the first set and the textual statement from the second set; and

for the statement pair, select a final respective score from the plurality of sub-scores.

2. The system of claim 1, wherein the selected final respective score is a maximum score from the plurality of sub-scores for the statement pair.

3. The system of claim 1, wherein the processor is further configured to execute the textual analysis module to:

select the final respective score by;

determining a first respective score, for the statement pair, wherein the first respective score is selected as a maximum score of the plurality of sub-scores of the statement pair;

determining a second respective score for the statement pair, wherein the second respective score is based on the plurality of sub-scores of the statement pair; and

selecting the final respective score for the statement pair based on the first respective score and the second respective score.

4. The system of claim 1, wherein the processor is further configured to execute the textual analysis module to:

compare the final respective score to a predetermined scoring threshold; and

generate a visual representation configured to be viewed on a display, when the final respective score is greater than the predetermined scoring threshold.

5. The system of claim 1, wherein a first one of the plurality of sub-scores is based on similarity of syntax between the textual content of the textual statement of the first set and the textual content of the textual statement of the second set.

6. The system of claim 1, wherein a second one of the plurality of sub-scores is based on one of presence of synonymous textual content of the textual statement of the first set with respect to the textual content of the textual statement of the second set for the statement pair and semantical similarity between the textual content of the textual statement of the first set and the textual content of the textual statement of the second set for the statement pair.

7. The system of claim 1, wherein the final respective score for the statement pair is the greater of a third respective score and a fourth respective score for the statement pair.

8. The system of claim 7, wherein the third respective score, for the statement pair, is based on a comparison between a stem of at least one word of the textual statement of the first set and at least one word of the textual statement of the second set.

9. The system of claim 7, wherein the fourth respective score, for the statement pair, is based on a semantical similarity between the textual statement of the first set and the textual statement of the second set.

10. An organization analysis system comprising:

a database configured to store;

a plurality of capability models, wherein each of the plurality of capability models comprises a plurality of capabilities, wherein each of the capabilities defines a particular aspect associated with a desired operational aspect of an organization;

a plurality of requirement lists, wherein each requirement list of the plurality of requirement lists comprises a plurality of requirements, wherein each of the requirements defines an operational aspect of the organization;

a memory configured to store a textual analysis system; and

a processor in communication with the memory, wherein the processor is configured to execute the textual analysis system to;

retrieve a capability model from the plurality of capability models;

retrieve a requirement list from the plurality of requirement lists;

determine a level of similarity between the capability and the requirement for each unique combination;

generate a plurality of sub-scores for each unique combination representing a level of similarity between the capability and the requirement for each unique combination, and

for each unique combination, select a final respective score from the plurality of sub-scores.

11. The organization analysis system of claim 10, wherein, for each unique combination, the selected final respective score is a maximum score from the plurality of sub-scores.

12. The organization analysis system of claim 10, wherein the processor is further configured to execute the textual analysis module to:

select the final respective score by;

determining a first respective score, for each unique combination, wherein the first respective score is selected as a maximum score of the plurality of sub-scores of the statement pair;

determining a second respective score for each unique combination, wherein the second respective score is based on the plurality of sub-scores for each unique combination; and

selecting the final respective score for the statement pair based on the first respective score and the second respective score.

13. The organization analysis system of claim 10, wherein the processor is further configured to execute the textual analysis system to:

compare the final respective score for each unique combination to a predetermined scoring threshold; and

generate a visual representation configured to be viewed on a display, when the final respective score is greater than the predetermined scoring threshold.

14. The organization analysis system of claim 10, wherein the processor is further configured to executes the textual analysis system to:

determine direct correspondence based on the respective level of correspondence for each unique combination, wherein the visual presentation is configured to visually indicate direct correspondence between the single capability and the single requirement of each unique combination.

15. The organization analysis system of claim 10, wherein the processor is further configured to executes the textual analysis system to:

identify a first hierarchy associated with the plurality of capabilities of the retrieved capability model and a second hierarchy associated with the plurality of requirements of the retrieved requirement list, wherein the respective level of correspondence is between the single capability and the single requirement of each unique combination is determined based on the first hierarchy and the second hierarchy.

16. The organizational analysis system of claim 10, wherein the processor is further configured to executes the textual analysis system to:

generate a new requirement based on selection of a capability from the retrieved capability model.

17. The organizational analysis system of claim 16, wherein the processor further executes the textual analysis system to:

update a visual representation to visually indicate the generation of the new requirement, and

add the new requirement to at least one of the plurality of requirement lists.

18. The organizational analysis system of claim 10, wherein the processor further executes the textual analysis system to:

identify, for each unique combination of a capability and requirement, a first verb-entity relationship in a single capability and a second verb-entity relationship in a single requirement.

19. The organization analysis system of claim 10, wherein the processor further executes the textual analysis system to:

eliminate at least one requirement from the retrieved requirement list to generate a new requirement list; and

store the new requirement list in the database.

20. A method for identifying a level of similarity between textual statements, the method comprising:

storing a first set of textual statements and a second set of textual statements in a database;

retrieving the first set of textual statements and the second set of textual statements from the database;

generating a plurality of statement pairs, wherein each statement pair includes a textual statement from the first set and a textual statement from the second set;

determining a plurality of sub-scores for each statement pair representing a level of similarity between the textual statement from the first set and the textual statement from the second set; and

for each statement pair, selecting a final respective score from the plurality of sub-scores.

21. The method of claim 20, wherein the selected final respective score is a maximum score from the plurality of sub-scores for the statement pair.

22. The method of claim 20, wherein selecting the final respective score comprises:

determining a first respective score, for each statement pair, wherein the first respective score is selected as a maximum score of the plurality of sub-scores for each of the statement pairs;

determining a second respective score for each of the statement pairs, wherein the second respective score is based on the plurality of sub-scores for each of the statement pairs; and

selecting the final respective score for each of the statement pairs based on the first respective score and the second respective score.

23. The method of claim 20, further comprising:

comparing the final respective score to a predetermined scoring threshold; and

generating a visual representation configured to be viewed on a display, when the final respective score is greater than the predetermined scoring threshold.