System for requirement identification and analysis based on capability mode structure

• US 8,442,985 B2
• Filed: 02/17/2011
• Issued: 05/14/2013
• 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 S.
• Primary Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US13/029,705
• Publication Number:
  US 20110208734A1
• Time in Patent Office: 817 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 textual analysis module stored in a memory and executable on a processor to;

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

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

identify, for each statement pair, a first verb-entity pair from textual content of the textual statement of the first set and a second verb-entity pair from textual content of the textual statement of the second set;

determine a respective score for each statement pair, wherein the respective score is indicative of a level of similarity between textual content of the textual statement of the first set and textual content of the textual statement of the second set;

compare each respective score to a predetermined scoring threshold; and

generate a visual representation configured to be viewed on a display, wherein the visual representation is configured to visually indicate when each statement pair has a respective score greater than the predetermined scoring threshold.

2. The system of claim 1, wherein the textual analysis module is further executable to:

determine a plurality of sub-scores for each statement pair, wherein each sub-score is based on the textual content of the textual statement of the first set and the textual content of textual statement of the second set of a respective statement pair;

determine 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 of the respective statement pair;

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

select a respective final score for each statement pair based on the first respective score and the second respective score.

3. The system of claim 2, wherein the textual analysis module is further executable to compare the selected final respective score to the predetermined scoring threshold, and wherein the visual representation is configured to visually indicate each statement pair having a respective final score greater than the predetermined scoring threshold.

4. The system of claim 2, wherein, for each statement pair, 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, and 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 each respective 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 each respective statement pair.

5. The system of claim 2, wherein the first respective score for each respective statement pair is the greater of a third respective score and a fourth respective score for the respective statement pair.

6. The system of claim 5, wherein the third respective score, for each 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.

7. The system of claim 5, wherein the fourth respective score, for each statement pair, is based on a semantical similarity between the textual statement of the first set and the textual statement of the second set.

8. 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 textual analysis system stored on a memory and executable by a processor, the textual analysis system configured to;

retrieve a capability model from the plurality of capability models;

retrieve a requirement list from the plurality of requirement lists;

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;

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

generate at least one visual presentation, wherein at least one visual representation is generated to visually indicate each determined level of similarity between the single capability and the single requirement of each unique combination.

9. The organization analysis system of claim 8, wherein the textual analysis system is further configured to:

generate a respective score, for each unique combination, based on the level of similarity between a single capability and a single requirement;

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

determine, for each unique combination, a respective level of correspondence between the single capability and the single requirement based on comparison of the respective score to the predetermined scoring threshold, wherein the at least one visual presentation is generated to visually indicate the respective level of correspondence for each unique combination.

10. The organization analysis system of claim 9, wherein the textual analysis system is further configured 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.

11. The organization analysis system of claim 9, wherein the textual analysis system is further configured 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.

12. The organizational analysis system of claim 8, wherein the textual analysis system is further configured to generate a new requirement based on selection of a capability from the retrieved capability model.

13. The organizational analysis system of claim 12, wherein the textual analysis system is configured to update the visual representation to visually indicate the generation of the new requirement.

14. The organizational analysis system of claim 13, wherein the textual analysis system is configured to add the new requirement to at least one of the plurality of requirement lists.

15. The organization analysis system of claim 8, wherein the organization analysis system further executable 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.

16. A computer-readable medium comprising a plurality of instructions executable by a processor, the computer-readable medium comprising:

instructions to retrieve a first electronic document containing a first plurality of statements;

instructions to retrieve a second electronic document containing a second plurality of statements;

instructions to generate a plurality of statement pairs, wherein each statement pair includes a first respective statement from the first plurality of statements and a second respective statement from the second plurality of statements;

instructions to identify, for each statement pair, a verb-entity relationship from the first respective statement and a verb-entity relationship from the second respective statement;

instructions to determine, for each statement pair, a level of similarity between the verb-entity relationship from the first respective statement and the verb-entity relationship from the second respective statement; and

instructions to generate a visual representation configured to be generated on at least one display, wherein the visual representation is generated to visually indicate the level of similarity for each respective statement pair.

17. The computer-readable medium of claim 16, further comprising:

instructions to compare the verb-entity relationship from the first respective statement and the verb-entity relationship of the second respective statement,

wherein the instructions to determine, a level of similarity for each of the statement pairs comprise instructions to generate a score based on the comparison of the verb-entity relationship from the first respective statement and the verb-entity relationship from the second respective statement, wherein the score is indicative of a level of similarity between the verb-entity relationship from the first respective statement and the verb-entity relationship from the second respective statement.

18. The computer-readable medium of claim 17, wherein the instructions to generate a score comprise generating a score based on:

a comparison between a verb of the verb-entity relationship of the first respective statement and a verb of the verb-entity relationship of the second respective statement; and

a comparison between an entity of the verb-entity relationship of the first respective statement and an entity of the verb-entity relationship of the second respective statement.

19. The computer-readable medium of claim 18, wherein the instructions to generate a score further comprise generating a score based on the verb of the verb-entity relationship of the first respective statement and the verb of the verb-entity relationship of the second respective statement being synonyms.

20. The computer-readable medium of claim 18, wherein the instructions to generate a score further comprise generating a score based on the entity of the verb-entity relationship of the first respective statement and the entity of the verb-entity relationship of the second respective statement being synonyms.

21. The computer-readable medium of claim 18, wherein the instructions to generate a score further comprise generating a score based on the verb of the verb-entity relationship of the first respective statement and the verb of the verb-entity relationship of the second respective statement sharing a common stem word.

22. The computer-readable medium of claim 18, wherein the instructions to generate a score further comprise generating a score based on the entity of the verb-entity relationship of the first respective statement and the entity of the verb-entity relationship of the second respective statement sharing a common stem word.