Engine for validating proposed changes to an electronic entity

• US 7,577,649 B2
• Filed: 07/23/2004
• Issued: 08/18/2009
• Est. Priority Date: 07/23/2004
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Gong, Huiling, Wu, Yuh-Cherng, Simon, Horatiu-Zeno
• Primary Examiner(s): Alam; Hosain T
• Assistant Examiner(s): Tang; Jieying
• Application Number:
  US10/897,827
• Publication Number:
  US 20060020639A1
• Time in Patent Office: 1,852 Days
• Field of Search: 707/3, 707/5, 707/8, 707/201, 709/204
• US Class Current: 1/1
• CPC Class Codes: G06F 16/273 Asynchronous replication or reconciliation
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99938 Concurrency, e.g. lock management in shared database
• CPC Class Codes: Y10S 707/99952 Coherency, e.g. same view to multiple users

Abstract

One implementation provides a method for analyzing the validity of a proposed change to an electronic entity. The method includes receiving the proposed changes to an electronic entity from an external device, and calculating a validity index based on a set of definable rules. The inputs to the calculation include quantified values that represent either contextual information about the proposed change or information about a user proposing the change, or some combination thereof. After the calculation of the validity index, the method includes deciding, based on the calculated validity index, whether to proceed further in applying the proposed change to the electronic entity.

Claims

1. A method comprising:

retrieving data corresponding to a knowledge entity within a knowledge repository, the knowledge entity comprising change records, interaction records, and feedback records, the change records including substantive information describing a proposed change and metadata describing information about a context of the proposed change, the interaction records characterizing how the knowledge entity has been used by various users, the feedback records including information about how users rate the knowledge entity'"'"'s quality or usefulness;

categorizing the change records by a change record categorization action to categorize each change record to an existing cluster of change records;

categorizing the interaction records by an interaction record categorization action;

categorizing the feedback records by a feedback record categorization action;

grouping the categorized change, interaction, and feedback records into a modification matrix;

retrieving a user profile from a user profile database for a user requesting the proposed change, the user profile characterizing an expertise level for the user based on historical feedback for the user in connection with historical changes to knowledge entities;

calculating a validity index for the proposed change based on a definable rule set and using the modification matrix and the retrieved user profile, the definable rule set having inputs including a plurality of quantified values representing contextual information metadata about the proposed change and information about a user proposing the change, the calculated validity index determined using a weighting of an importance level of the knowledge entity, an interaction level representing a frequency of use of the knowledge entity, and the expertise level for the user; and

deciding, based on the calculated validity index, whether to proceed further in applying the proposed change to the knowledge entity, the deciding comprising;

triggering conflict resolution if the validity index exceeds a predetermined level;

providing a proposal to resolve the conflict to a workflow engine; and

updating the knowledge repository with the proposed change if the workflow engine determines that the knowledge repository should be updated based on the proposal.

2. The method of claim 1, wherein the contextual information about the proposed change further includes a quantifiable representation of either usage of the entity or a feedback rating of the entity, or some combination thereof.

3. The method of claim 1, wherein the method further comprises:

prior to calculating the validity index, analyzing the proposed change for similarity to other proposed changes from either the same user or from users of other external devices, and grouping similar proposed changes within clusters of like proposed changes.

4. The method of claim 1, wherein the quantifiable data representing the skill level of the user is quantified with respect to either the user'"'"'s overall skill level or the user'"'"'s skill level specifically relating to the proposed change, or some combination thereof.

5. The method of claim 1, wherein the method further comprises:

prior to calculating the validity index, retrieving stored information about the user'"'"'s skill level, and updating the stored information about the user'"'"'s skill level as the user'"'"'s skill level changes.

6. A computer program product tangibly embodied in computer readable storage media, the computer program product including instructions that, when executed, perform a method to analyze a proposed change to information in an electronic entity, the method comprising:

retrieving data corresponding to a knowledge entity within a knowledge repository, the knowledge entity comprising change records, interaction records, and feedback records, the change records including substantive information describing a proposed change and metadata describing information about a context of the proposed change, the interaction records characterizing how the knowledge entity has been used by various users, the feedback records including information about how users rate the knowledge entity'"'"'s quality or usefulness;

categorizing the change records by a change record categorization action to categorize each change record to an existing cluster of change records;

categorizing the interaction records by an interaction record categorization action;

categorizing the feedback records by a feedback record categorization action;

grouping the categorized change, interaction, and feedback records into a modification matrix;

retrieving a user profile from a user profile database for a user requesting the proposed change, the user profile characterizing an expertise level for the user based on historical feedback for the user in connection with historical changes to knowledge entities;

calculating a validity index for the proposed change based on a definable rule set and using the modification matrix and the retrieved user profile, the definable rule set having inputs including a plurality of quantified values representing contextual information metadata about the proposed change, at least one of the inputs comprising a modification matrix characterizing a set of knowledge entities, the calculated validity index determined using a weighting of an importance level of the knowledge entity, an interaction level representing a frequency of use of the knowledge entity, and the expertise level for the user; and

deciding, based on the calculated validity index, whether to proceed further in applying the proposed change to the electronic entity, the deciding comprising;

triggering conflict resolution if the validity index exceeds a predetermined level;

providing a proposal to resolve the conflict to a workflow engine; and

updating the knowledge repository with the proposed change if the workflow engine determines that the knowledge repository should be updated based on the proposal.

7. The computer program product of claim 6, wherein the contextual information about the proposed change further includes a quantifiable representation of either usage of the entity or a feedback rating of the entity, or some combination thereof.

8. The computer program product of claim 7, wherein the feedback rating of the entity is automatically generated based on a quantifiable representation of the quality of the entity, the quality of the entity being based on the manner in which the entity has been used by the external devices.

9. The computer program product of claim 6, wherein the information about the user proposing the change includes a quantifiable representation of a skill level of the user.

10. The computer program product of claim 9, wherein the skill level includes quantifiable representations of either the user'"'"'s experience or the user'"'"'s expertise, or some combination thereof.

11. The computer program product of claim 9, wherein the quantifiable data representing the skill level of the user is quantified with respect to either the user'"'"'s overall skill level or the user'"'"'s skill level specifically relating to the proposed change, or some combination thereof.

12. The computer program product of claim 9, wherein the method further comprises:

prior to calculating the validity index, retrieving stored information about the user'"'"'s skill level, and

updating the stored information about the user'"'"'s skill level as the user'"'"'s skill level changes.

13. The computer program product of claim 6, wherein the decision to proceed further in a change control process is automated, the change control process continuing only if the validity index meets a definable threshold criterion.

14. The computer program product of claim 6, wherein the method further comprises:

prior to calculating the validity index, analyzing the proposed change for similarity to other proposed changes from either the same user or from users of other external devices, and grouping similar proposed changes within clusters of like proposed changes.

15. An apparatus comprising:

a processor; and

at least one memory, the processor and the at least one memory configured to provide a method comprising;

retrieving data corresponding to a knowledge entity within a knowledge repository, the knowledge entity comprising change records, interaction records, and feedback records, the change records including substantive information describing a proposed change and metadata describing information about a context of the proposed change, the interaction records characterizing how the knowledge entity has been used by various users, the feedback records including information about how users rate the knowledge entity'"'"'s quality or usefulness;

categorizing the change records by a change record categorization action to categorize each change record to an existing cluster of change records;

categorizing the interaction records by an interaction record categorization action;

categorizing the feedback records by a feedback record categorization action;

grouping the categorized change, interaction, and feedback records into a modification matrix;

retrieving a user profile from a user profile database for a user requesting the proposed change, the user profile characterizing an expertise level for the user based on historical feedback for the user in connection with historical changes to knowledge entities;

calculating a validity index for the proposed change based on a definable rule set and using the modification matrix and the retrieved user profile, the definable rule set having inputs including a plurality of quantified values representing contextual information metadata about the proposed change and information about a user proposing the change, the calculated validity index determined using a weighting of an importance level of the knowledge entity, an interaction level representing a frequency of use of the knowledge entity, and the expertise level for the user; and

deciding, based on the calculated validity index, whether to proceed further in applying the proposed change to the knowledge entity, the deciding comprising;

triggering conflict resolution if the validity index exceeds a predetermined level;

providing a proposal to resolve the conflict to a workflow engine; and

updating the knowledge repository with the proposed change if the workflow engine determines that the knowledge repository should be undated based on the proposal.