Social annotation of a single evolving visual representation of a changing dataset

• US 8,217,945 B1
• Filed: 09/02/2011
• Issued: 07/10/2012
• Est. Priority Date: 09/02/2011
• Status: Active Grant

• Current Assignee: Metric Insights, Inc.
• Original Assignee: Metric Insights, Inc.
• Inventors: Moscovici, Marius Andy
• Primary Examiner(s): Amini, Javid A
• Application Number:
  US13/224,349
• Time in Patent Office: 312 Days
• Field of Search: 345/440
• US Class Current: 345/440
• CPC Class Codes: G06Q 10/101 Collaborative creation, e.g. joint development of products or services
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems and methods of social annotation of a single evolving visual representation of a changing dataset are disclosed. In one or more embodiments, the method includes generating a visual representation of a dataset at an initial time and automatically updating the visual representation of the dataset to reflect the dataset at a changed time through an algorithm that applies changed values between the dataset at the initial time and the dataset at the changed time while maintaining a previous calculation of an unchanged portion of the dataset at the initial time. The method further includes generating an alert when the change status indicates that the underlying data has changed beyond the threshold tolerance range. The method further includes placing a note associated with a first user on the visual representation.

Claims

1. A method comprising:

generating, through a server, a visual representation of a data set at an initial time;

placing a first marker on the visual representation corresponding to a first user having access privileges to the visual representation through the server based on the data set at the initial time;

tracking a change to the data set at a subsequent time through the server;

automatically performing, without a requirement of intervention on part of the user, a process comprising;

updating the visual representation of the data set to reflect the change thereto at the subsequent time through the server based on an algorithm that applies changed values between the dataset at the initial time and the dataset at the changed time while maintaining a previous calculation of an unchanged portion of the dataset previously calculated when generating the visual representation of the dataset at the initial time;

minimizing, through the server, a refresh time of the visual representation relating to the automatic update thereof to reflect the change to the data set based on retaining the relevant data set at the initial time;

determining, through the server, that the first marker placed on the visual representation of the data set at the initial time is still relevant to the visual representation at the subsequent time;

maintaining the first marker on the visual representation of the data set at the subsequent time when the first marker is determined to be still relevant to the visual representation of the data set at the subsequent time; and

repositioning the first marker on the visual representation of the data set at the subsequent time when the first marker at the initial time is determined to not be relevant to the visual representation of the data set at the subsequent time; and

enabling, through the server, a social evolution of the visual representation of the data set through providing a capability to the user and another user also having access to the server to annotate the visual representation of the data set.

2. The method of claim 1, wherein determining a relevance of the first marker at the initial time to the visual representation of the data set at the changed time comprises at least one of:

determining a change status of an underlying data associated with a visual location of the marker placed on the visual representation at the initial time,

wherein when the change status indicates that the underlying data has changed beyond a threshold tolerance range, the marker is updated on the visual representation associated with the subsequent time, and

wherein when the change status indicates that the underlying data has not changed beyond the threshold tolerance range, the marker is maintained on the visual representation associated with the subsequent time; and

automatically generating an alert when the change status indicates that the underlying data has changed beyond the threshold tolerance range.

3. The method of claim 1, wherein enabling social evolution of the visual representation includes at least one of:

providing, through the server, a capability to the first user to place a note on the first marker;

providing, through the server, a capability to the another user to place a comment on the note of the first user on the first marker on the visual representation;

associating, through the server, a comment placed by the another user with the note placed by the user; and

associating, through the server, the note and a set of comments to the note with the first marker such that a position of the note is undated when a position of the marker is updated.

4. The method of claim 3, further comprising at least one of:

associating, through the server, the comment placed by the another user on the marker associated with the user; and

enabling, through the server, publishing of the visual representation on a social graph associated with the user when the user has access privileges to publicly publish the visual representation to an external party.

5. The method of claim 2, wherein the threshold tolerance range is at least one of a customized range, a system-defined range and a user-adjustable range.