Accenture Global Services Gmbh

Michael E Bechtel

Brian Richards

Sanjay Mathur

Jordi Arago

Erin E Hsu

Brian J Leslie

Andrew E Fano

David T Nguyen

Jordan K Buller

Sean Robert Kampas

Jordi Aragp

Patrick Lai

A system is described for providing an interface for collaborative innovation. The system may include a memory, an interface, and a processor. The memory may store an item, primary responses, secondary responses and ratings. The interface may communicate with users and a content provider and may allow the users to create primary responses associated with the item, create secondary responses associated with the primary responses and rate the primary and secondary responses. The processor may receive the item from the content provider and provide the interface to the users. The processor may receive the primary and secondary responses from the users, and may display a graphical hierarchical representation of the item and the responses. The processor may allow the users to rate the primary and secondary responses through the graphical hierarchical representation. The processor may provide the primary and secondary responses to the content provider, ordered based on the ratings.

System for providing an interface for collaborative innovation

A system is described for analyzing user activity in a collaborative environment. The system may include a memory, an interface, and a processor. The memory may store a plurality of data items. Each data item may be related to at least one other data item. The processor may receive a request to alert the user when an action is performed on a selected data item. The processor may also receive a relation threshold identifying at least one other data item related to the selected data item. The processor may detect the action being performed on the data item identified by the relation threshold. The processor may transform data describing the action into an alert. The alert may include the data describing the action, the data item, and a description of the relationship between the data items. The processor may provide the alert to the user via the device.

System for analyzing user activity in a collaborative environment

A system is described for displaying a plurality of associated items in a collaborative environment. The system may include a memory, an interface, and a processor. The memory may store items, each item associated with another item. The processor may provide the graphical representation of the items to a user where each item is represented by a shape. The processor may receive a request to associate a first metric of the items with a size of each shape and a request to associate a second metric of the items with a color of each shape. The processor may transform the graphical representation such that the size of each shape is based on the value of the first metric of each item, and the color of each shape is based on the value of the second metric of each item. The processor may provide the transformed graphical representation to the user.

System for displaying a plurality of associated items in a collaborative environment

A system is described for managing a collaborative environment. The system may include a memory, an interface, and a processor. The memory may store items provided by users in a collaborative environment. Each item may be related to at least one other item. The processor may identify the collaborative environment and may receive a request from a user to flag an item in the collaborative environment. The request may include a reason for flagging the item and a description of the reason. The processor may determine a priority level of a plurality of priority levels for handling the item based at least on the reason. Each priority level may be associated with an action to be performed on the item. The processor may perform the action associated with the determined priority level.

System for managing a collaborative environment

A method for social network collaboration addresses the need for efficient and effective way of obtaining information. The method obtains aggregated information from members of a social network collaborating in response to a source collaboration message. The method provides for a demand-driven collaborated information production such that the information is significantly more relevant and accurate.

Social community generated answer system with collaboration constraints

A system for managing a knowledge model defining a plurality of entities is provided. The system includes an extraction tool for extracting data items from disparate data sources that determines if the data item has been previously integrated into the knowledge model. The system also includes an integration tool for integrating the data item into the knowledge model that integrates the data item into the knowledge model only if the data item has not been previously integrated into the knowledge model. Additionally, a relationship tool for identifying, automatically, a plurality of relationships between the plurality of entities may also be provided. The system may also include a data visualization tool for presenting the plurality of entities and the plurality of relationships.

Knowledge discovery tool relationship generation

Each of a plurality of team members may define a task by providing data concerning a task to a centralized controller, wherein each task may be assigned any other team member of the plurality of team members. The controller may receive task event information from a first team member of the plurality of team members regarding a task, which task is associated within the controller with the first team member and a second team member. The controller subsequently sends updated task information, based on the task event information, to both the first team member and the second team member. Relevant to any given task, the task event information may comprise a task delegation indication, which may further comprise a non-delegation indication such that further delegation of the task in not permitted.

Task management for a plurality of team members

A method for integrating a data item into a knowledge model is provided. The method may include retrieving the data item from a data source, determining if the data item has been previously integrated into the knowledge model, and integrating the data element into the knowledge model if the data item has not been previously integrated.

Knowledge discovery tool extraction and integration

A system for valuating users and user generated content in a collaborative environment is described. The system may include a memory, an interface, and a processor. The memory may store an item, responses to the item, and ratings for each response. The processor may receive responses from the users based on the item provided by the content provider. The processor may receive ratings from the users for each of the responses. The processor may determine a response quality score for each response if the number of users who viewed the response satisfies a view threshold. The response quality score may be based on the ratings received for each response and the number of users who viewed each response. The processor may transform each response and the response quality score of each response into a graphical representation and may provide the graphical representation to the content provider.

System for valuating users and user generated content in a collaborative environment

A system including a knowledge model is provided. The system includes an interface for presenting a relationship between two entities of a knowledge model. The interface includes a method that accepts a first input representative of a selection of a first interface item, the first interface item associated with an entity of the knowledge model. The method also includes presenting, in response to the acceptance, a second interface item, the second interface item associated with a second entity of the knowledge model, wherein the second entity has a relationship with the selected entity and the relationship has a relationship type selected from the group consisting of a direct relationship type or a derived relationship type. Finally, the method also includes presenting a relationship indicia representative of the relationship between the first entity and the second entity.

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Naperville, IL, United States of America

Michael E Bechtel