Abstract: Methods, systems, and computer-readable media for digital document management. A physical context can be identified, wherein such a physical context includes three dimensions of data. One or more digital documents can be automatically linked to the physical context, after identifying the physical context. Constraints can then be combined, which are derived from the three dimensions of data, allow particular actions with respect to the digital document(s). The three dimensions of data include, for example, data indicative of location, time, and a social component (e.g., people present at a location). Actions with respect to the digital document can include, for example: an allowed action, a restricted action, or a prohibited action (e.g., read/write).

Abstract: A computer-implemented method for gathering knowledge within an organization for supporting the preparation, animation, and execution of a collaborative workshop for high speed and efficient document management and labeling. Printed documents are tracked within the system over a specified amount of time to acquire print job information from the jobs printed within an organization. Based upon the documents retrieved, a list of users is determined and invited to review and annotate the list of documents. The list of documents is then narrowed down to an optimized set for ease of labeling and clustering. Provision is made for user-annotation of the classification label associated with the submitted print jobs including a reason for printing the print job. User-annotations are received for at least some of the submitted print jobs. The print jobs may be clustered into clusters based on the print job representations and annotations.

Abstract: Methods, systems, and computer-readable media for digital document management. A physical context can be identified, wherein such a physical context includes three dimensions of data. One or more digital documents can be automatically linked to the physical context, after identifying the physical context. Constraints can then be combined, which are derived from the three dimensions of data, allow particular actions with respect to the digital document(s). The three dimensions of data include, for example, data indicative of location, time, and a social component (e.g., people present at a location). Actions with respect to the digital document can include, for example: an allowed action, a restricted action, or a prohibited action (e.g., read/write).

Abstract: A computer-implemented method for identifying constraints to reducing consumable usage includes acquiring print job information for a set of print jobs submitted for printing by a set of users. A print job representation is computed for each of the print jobs from the print job information. Provision is made for user-annotation of a note associated with the submitted print jobs including a reason for printing the print job. User-annotations are received for at least some of the submitted print jobs. The print jobs may be clustered into clusters based on the print job representations and annotations. A representation of the set of print jobs includes a user dashboard and a group dashboard is generated which is based on the users' annotations and other users' included in a group to provide a structure for collaboration among the group members to identify the constraints to reducing consumable usage and/or provide solutions to reduce consumable usage.