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Using segments of rich media makes it possible to aggregate context and meaning on these chunks by using a number of different mechanisms. Starting with a granular node -- be it a sound bite, visual clip or written fact -- it is possible to aggregate contextual metadata through a series of steps that emergently progress from: * Starting with thousands of defined Audio Sound Bites & visual clips * Rating sound bites and clustering them with folksonomy tags * Sequencing audio sound bites within playlists * Collaboratively building larger sequences with nested playlists * Independently controlling the video & audio tracks with 2-dimensional nested playlists * Evaluating Multiple Storylines and Hypotheses with a 2-dimensional playlist matrix * Visualizing complex networks by mapping out feedback loop relationships between nodes

All conferences and research events have much informal related content spread around the Internet, including abstracts, papers, presentations and audio/visual material. Locating this content can be difficult and time-consuming. Using semantic web tools, IUGO is investigating how to organise and provide access to this valuable information.

Sprout is the quick and easy way for anyone to build, publish, and manage widgets, mini-sites, mashups, banners and more. Any size, any number of pages. Include video, audio, images and newsfeeds and choose from dozens of pre-built components and web services.

Project Wonderland is a 100% Java and open source toolkit for creating collaborative 3D virtual worlds. Within those worlds, users can communicate with high-fidelity, immersive audio, share live desktop applications and documents and conduct real business. Wonderland is completely extensible; developers and graphic artists can extend its functionality to create entire new worlds and new features in existing worlds.

To The Best Of Our Knowledge

A Digital Village is a space where a community expresses their identity though ICT and Digital Media. This may be from an artistic, heritage, or economic perspective or a mixture of all three.This can be done through poetry, digital stories, community newspapers online, image collections (old and new), audio (Internet radio, oral history), animations, video, and text. To engage in the activities the participants need to learn new skills and so the Digital Village also becomes a learning community.

The confluence of computers, communications, and databases is quickly creating a distributed database where many applications require real-time access to both temporally accurate and multimedia data. This is particularly true in military and intelligence applications, but these required features are needed in many commercial applications as well. We are developing a distributed database, called BeeHive, which could offer features along different types of requirements: real-time, fault-tolerance, security, and quality-of service for audio and video. Support of these features and potential trade-offs between them could provide a significant improvement in performance and functionality over current distributed database and object management systems. In this paper, we present a high level design for BeeHive architecture and sketch the design of the BeeHive Object Model (BOM) which extends object-oriented data models by incorporating time and other features into objects, resulting in a highly reflective architecture.

Our goal in creating this site is to provide the basis for a thriving community of UIMA developers who can announce, discuss, design, share, and critique UIMA-compliant components, resources and solutions. The Unstructured Information Management Architecture (UIMA) is a software framework that supports rapid development and deployment of multimodal analytics - applications which provide value by processing human-readable text, audio and/or video in order to extract information, answer questions, summarize documents, etc.

A system and method for organizing knowledge in such a way that humans can find knowledge, learn from it, and add to it as needed is disclosed. The exemplary system has four components: a knowledge base, a learning model and an associated tutor, a set of user tools, and a backend system. The invention also preferably comprises a set of application programming interfaces (APIs) that allow these components to work together, so that other people can create their own versions of each of the components. In the knowledge web a community of people with knowledge to share put knowledge in the database using the user tools. The knowledge may be in the form of documents or other media, or it may be a descriptor of a book or other physical source. Each piece of knowledge is associated with various types of meta-knowledge about what the knowledge is for, what form it is in, and so on. The information in the knowledge base can be created specifically for the knowledge base, but it can also consist of information converted from other sources, such as scientific documents, books, journals, Web pages, film, video, audio files, and course notes. The initial content of the knowledge web comprises existing curriculum materials, books and journals, and those explanatory pages that are already on the World Wide Web. These existing materials already contain most of the information, examples, problems, illustrations, even lesson plans, that the knowledge web needs. The knowledge base thus represents the core content (online documents or references to online or offline documents); the meta-knowledge that was created at the time of entry; and a number of user annotations and document metadata that accumulate over time about the usefulness of the knowledge, additional user opinions, certifications of its veracity and usefulness, commentary, and connections between various units of knowledge.