Abstract: A method, system and machine-readable medium are provided for watermarking natural language digital text. A deep structure may be generated and a group of features may be extracted from natural language digital text input. The deep structure may be modified based, at least partly, on a watermark. Natural language digital text output may be generated based on the modified deep structure.

Abstract: Techniques are disclosed for identifying influence paths and expertise networks in an enterprise using provenance data associated with one or more meetings. For example, a method for processing provenance data comprises the following steps: generating provenance data for each of one or more meetings that capture one or more aspects of each meeting, correlating the provenance data between the one or more meetings, identifying a main topic and one or more sub-topics of each of the one or more meetings to establish a relation between the one or more meetings on a basis of topic, and identifying a path of influence among one or more meetings based on the correlated provenance data and the topic relation of the one or more meetings, wherein a path of influence comprises a meeting that influences one or more subsequent meetings on a basis of provenance data and topic.

Abstract: Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.

Abstract: Techniques are disclosed for automatic static summarization of videos. For example, a method of creating a static summary of a video comprises the following steps. Shots in the video are detected, wherein the detected shots are frames of the video having a correlation. The detected shots are clustered into clusters based on similarity. The clusters of shots are ranked. At least a portion of the shots are selected based on cluster ranking for inclusion in the static summary. The static summary is generated by combining thumbnail images of the selected shots. Prior to the ranking step, the method may further comprise detecting a presence of slides in any of the shots, and the ranking of a given shot is based in part on whether the shot is a slide. By way of example, such static summaries can be shared in emails and in calendar applications.

Abstract: Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.

Abstract: A system and method for server-side method for editing metadata in a file, the method including steps of: receiving from a user a request for editing the metadata in the file; presenting a window to the user for display on a user's screen wherein the window displays properties of the metadata; receiving from the user an edit to the metadata properties; and updating the metadata properties with the edit received from the user, for producing an updated metadata.

Abstract: An approach that evaluates an effectiveness of a monitoring system is provided. In one embodiment, there is a performance evaluation tool, including an evaluation component configured to receive visual media at a monitoring system monitored by a set of users, and evaluate a monitoring performance of the set of users in response to a simulated alert within the visual media. The performance evaluation tool further comprises an analysis component configured to predict an effectiveness of the monitoring system based on the performance of the set of users in response to the simulated alert within the visual media.

Abstract: A method, system and machine-readable medium are provided for watermarking natural language digital text. A deep structure may be generated and a group of features may be extracted from natural language digital text input. The deep structure may be modified based, at least partly, on a watermark. Natural language digital text output may be generated based on the modified deep structure.