Quantify and measure micro-blogging for enterprise resources planning (ERP)

• US 8,751,567 B2
• Filed: 02/09/2012
• Issued: 06/10/2014
• Est. Priority Date: 02/09/2012
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Chung, Chang Uk, Alonzo, Jason
• Primary Examiner(s): WON, MICHAEL YOUNG
• Application Number:
  US13/369,986
• Publication Number:
  US 20130212170A1
• Time in Patent Office: 852 Days
• Field of Search: 709/203, 705/1.1, 705/7.11, 705/7.29, 705/7.36, 707/603
• US Class Current: 709/203
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Embodiments of the invention provide systems and methods for presenting a quantitative view of a set of information made up a number of messages. For example, these messages can comprise emails, Short Message Service (SMS) messages, Multimedia Message Service (MMS) messages, Instant Messages, and/or any of a variety of other types of messages related to an application, process, resource, etc. of a system. Embodiments of the present invention provide for categorizing each of the messages, quantifying each category based on the messages therein, applying a weight to each of the quantified categories, plotting the weighted and quantified categories on a matrix, and presenting the matrix as a summary of the weighted and quantified categories. For example, the matrix may be presented in a dashboard, portal, or other element of a user interface of an application to which the messages are related.

Claims

1. A method for presenting a summary of information represented in a set of collected messages, the method comprising:

reading a plurality of messages, each message related to an object associated with an enterprise application;

tagging each of the plurality of messages to associate at least one descriptive tag to each message;

categorizing each of the plurality of messages into one or more of a plurality of categories based on the tag associated with each of the messages and a pre-defined association of each of the categories to a tag property;

quantifying each of the plurality of categories based on the messages in each category and as a percentage of all of the plurality of messages;

weighting each of the quantified categories;

assigning the quantified and weighted categories to a plurality of elements of a multi-dimensional matrix; and

determining an action for each of the plurality of elements of the matrix based on a predefined action associated with a weight for the quantified and weighted categories and tags and associating the determined action with the element of the matrix.

2. The method of claim 1, wherein weighting each of the quantified categories comprises applying a predefined weight for each category.

3. The method of claim 1, further comprising presenting the matrix with the assigned quantified and weighted categories to a user.

4. The method of claim 3, further presenting the determined action for one of the elements of the matrix upon a request from the user.

5. A system comprising:

a processor; and

a memory communicatively coupled with and readable by the processor and having stored therein a sequence of instructions which, when executed by the processor, cause the processor to present a summary of information represented in a set of collected messages by reading a plurality of messages, each message related to an object associated with an enterprise application, tagging each of the plurality of messages to associate at least one descriptive tag to each message, categorizing each of the plurality of messages into one or more of a plurality of categories based on the tag associated with each of the messages and a pre-defined association of each of the categories to a tag property, quantifying each of the plurality of categories based on the messages in each category and as a percentage of all of the plurality of messages, weighting each of the quantified categories, assigning the quantified and weighted categories to a plurality of elements of a multi-dimensional matrix, and determining an action for each of the plurality of elements of the matrix based on a predefined action associated with a weight for the quantified and weighted categories and tags and associating the determined action with the element of the matrix.

6. The system of claim 5, wherein weighting each of the quantified categories comprises applying a predefined weight for each category.

7. The system of claim 5, further comprising presenting the matrix with the assigned quantified and weighted categories to a user.

8. The system of claim 7, further presenting the determined action for one of the elements of the matrix upon a request from the user.

9. A machine-readable memory device having stored therein a sequence of instructions which, when executed by a processor, causes the processor to present a summary of information represented in a set of collected messages by:

reading a plurality of messages, each message related to an object associated with an enterprise application;

tagging each of the plurality of messages to associate at least one descriptive tag to each message;

categorizing each of the plurality of messages into one or more of a plurality of categories based on the tag associated with each of the messages and a pre-defined association of each of the categories to a tag property;

quantifying each of the plurality of categories based on the messages in each category and as a percentage of all of the plurality of messages;

weighting each of the quantified categories;

assigning the quantified and weighted categories to a plurality of elements of a multi-dimensional matrix; and

determining an action for each of the plurality of elements of the matrix based on a predefined action associated with a weight for the quantified and weighted categories and tags and associating the determined action with the element of the matrix.

10. The machine-readable memory of claim 9, wherein weighting each of the quantified categories comprises applying a predefined weight for each category.

11. The machine-readable memory of claim 9, further comprising presenting the matrix with the assigned quantified and weighted categories to a user.

12. The machine-readable memory of claim 11, further presenting the determined action for one of the elements of the matrix upon a request from the user.