Abstract: A method and system for implementing a document processor and re-aggregator is described herein. A document is divided into one or more sections and formatting is removed. A condensed document is generated that includes one or more links to the one or more sections. The condensed document is transmitted to a mobile device to be displayed for a user. The user may choose to download one or more of the sections by selecting one or more of the links. Once downloaded, a section may be modified by the user. The one or more modified sections may be transmitted from the mobile device. The one or more modified sections may then be re-aggregated with the unmodified sections to form a revised document.

Abstract: A mobile device for implementing a media composer is described herein. The mobile device includes an image capturing device and an audio capturing device. Image data is obtained via the image capturing device. Audio data is obtained via the audio capturing device. The image data is associated with the audio data. The image data may then be displayed on the mobile device while the associated audio data is played. The image data and associated audio data forms a data set that may be communicated to a computing device. The computing device may then modify the data set and send the modified data set to the mobile device. The mobile device may then display the modified data set.

Abstract: A distributed organizational analyzer configured to determine characteristics of an organization based on tasks performed by both clients and servers is provided. The characteristics determined by the distributed organizational analyzer may include relationship trends, emerging topics and other organizational intelligence related information. The clients are configured to generate profiles for users associated with the organization. Each profile is generated from client data, such as emails, messages, local documents, newsgroup and weblog data, or the like. The server aggregates the profiles to identify interaction patterns and keywords that are popular in the organization. The server then analyzes the interaction patterns and popular keywords to determine relationship trends between users and groups in the organization, and emerging topics that are important to the organization.