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Primarily, we want to create a new tool that uses the unique features of virtual environments to facilitate education, collaboration, and understanding. The output of many supercomputing applications - from astronomical simulations to medical models - is complex and often highly visual. Creating a persistent, standardized environment where these models can reside will make it easier to share and explore these data sets with other researchers. Also, for educators, ScienceSim will provide an interactive 3-D environment that can be used to explain complex concepts such as gravity [see video below] in a highly intuitive manner.

Primarily, we want to create a new tool that uses the unique features of virtual environments to facilitate education, collaboration, and understanding. The output of many supercomputing applications - from astronomical simulations to medical models - is complex and often highly visual. Creating a persistent, standardized environment where these models can reside will make it easier to share and explore these data sets with other researchers. Also, for educators, ScienceSim will provide an interactive 3-D environment that can be used to explain complex concepts such as gravity in a highly intuitive manner.

ECOSPACE pursues the vision that by 2012 every Professional in Europe is empowered for seamless, dynamic and creative collaboration across teams, organisations and communities through a personalised collaborative working environment. ECOSPACE contributes to this vision through 4 main objectives: * The definition of innovative work paradigms through the analysis of eProfessionals and their related organisation. * The design and development of an open standards, service-oriented architecture for complementary and alike systems. * A collaboration middleware and services to enable seamless and instant collaboration among knowledge workers in group forming networks, beyond organisational boundaries. * The creation of new tools that simplify the complexity of collaboration in dynamic work environments and which enable users for creative and knowledge intensive tasks.

PMOG is an infinite game built on individual network histories, transforming our web surfing into ongoing social play. With a game head-up display in Firefox, players can bomb each other, wage war over web sites, and lead other users on web missions. Ordinary web sites become caches for items and currency. PMOG fuses an MMO into our WWW. PMOG stands for Passively Multiplayer Online Game. Players play without playing; clicking around the internet turns into experience points and currency. This unconventional massively multiplayer online game merges your web life with an alternate, hidden reality. The mundane takes on a layer of fantastic achievement. Player behavior generates characters and alliances, triggers interactions in the environment, and earns the player points to spend online beefing up their inventory. Suddenly the internet is not a series of untouchable exhibits, but a hackable, rewarding environment.

ECOSPACE pursues the vision that by 2012 every Professional in Europe is empowered for seamless, dynamic and creative collaboration across teams, organisations and communities through a personalised collaborative working environment. ECOSPACE contributes to this vision through 4 main objectives: * The definition of innovative work paradigms through the analysis of eProfessionals and their related organisation. * The design and development of an open standards, service-oriented architecture for complementary and alike systems. * A collaboration middleware and services to enable seamless and instant collaboration among knowledge workers in group forming networks, beyond organisational boundaries. * The creation of new tools that simplify the complexity of collaboration in dynamic work environments and which enable users for creative and knowledge intensive tasks.

The new Open Semantic Collaboration Architecture Foundation aims at common standards in collaborative software. The OSCA Foundation brings together organisations and individuals interested in ensuring interoperability between desktops and collaborative environments. It provides a discussion and exchange forum as well as a meeting place for different stakeholder to explore joint interests and define and execute appropriate actions, aiming to ensure the continued evolution and standardisation of an open vendor- and platform-neutral interoperable collaborative environment architecture.

Networked Environment for Personalized, Ontology-based Management of Unified Knowledge NEPOMUK brings together researchers, industrial software developers, and representative industrial users, to develop a comprehensive solution for extending the personal desktop into a collaboration environment which supports both the personal information management and the sharing and exchange across social and organizational relations.

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

The Trade & Environment Database (TED) is a collection of categorical case studies that began with a focus on solely environmental issues, but did not include the economic consequences of other social policy choices, such as culture, rights, or other issues.

Linked Environments for Atmospheric Discovery (LEAD) makes meteorological data, forecast models, and analysis and visualization tools available to anyone who wants to interactively explore the weather as it evolves. The LEAD Portal brings together all the necessary resources at one convenient access point

AGROVOC is a multilingual, structured and controlled vocabulary designed to cover the terminology of all subject fields in agriculture, forestry, fisheries, food and related domains (e.g. environment).

The concept of representation format, or type, permeates all technical areas of digital repositories. Policy and processing decisions regarding object ingest, storage, access, and preservation are frequently conditioned on a per-format basis. In order to achieve necessary operational efficiencies, repositories need to be able to automate these procedures to the fullest extent possible. JSTOR and the Harvard University Library are collaborating on a project to develop an extensible framework for format validation: JHOVE (pronounced "jove"), the JSTOR/Harvard Object Validation Environment.

One facet of modeling wildlife-habitat relations and species-environment relations may pertain to depicting the ecological roles played by organisms. I have termed these "key ecological functions" or KEFs.

Proceedings of the First International Workshop on Mashup Personal Learning Environments (MUPPLE08), Maastricht, The Netherlands, September 17, 2008.

Proceedings of the 1st International Workshop on Intelligent Support for Exploratory Environments held in conjunction with the EC-TEL'08 Conference Maastricht, The Netherlands, September 17th, 2008.

Welcome to the biology portal. Biology, from the Greek words bios (life) and the suffix -ology, meaning study of, is a branch of science. It is concerned with the characteristics and behaviors of organisms, how species and individuals come into existence, and the interactions they have with each other and with their environment. Biology encompasses a broad spectrum of academic fields that are often viewed as independent disciplines. Together, they study life over a wide range of scales.

The project KiWi is concerned with knowledge management in Semantic Wikis and funded by the European Commission under the Project Number 211932 in the EU Seventh Framework Programme (FP7). KiWi's objective is to investigate how knowledge management in highly dynamic environments can be supported using Semantic Wiki technologies, and how Semantic Wikis can be improved to satisfy the requirements of knowledge management. For this purpose, KiWi will * implement an advanced knowledge management system based on the Semantic Wiki IkeWiki and extend it by improved, rule-based reasoning support, information extraction, personalisation, and advanced visualisations and editors * verify the system on two use cases in the areas of project knowledge management and software knowledge management, with flexible workflow models and specific support for the respective application areas.

Businesses are moving beyond marketing in virtual worlds and are exploring other applications of virtual worlds (see a recent BusinessWeek article & slideshow). Enabling collaboration among remote workers is one such application (see our past posts and paper on this topic). A variety of virtual world options or platforms have been available for supporting remote work and these include Second Life, Qwaq, Forterra, and Tixeo. Last week I had the rare opportunity to see an emerging virtual world called Wonderland, the product of an open source project, Project Wonderland, sponsored by Sun Microsystems. During a conference call with our colleague Nicole Yankelovich, Principal Investigator of the Collaborative Environments Project at Sun Microsystems, Becky Jestice and I were lucky enough to get a tour of Wonderland. Nicole graciously spent over an hour to show us some of the impressive features of Wonderland. The tour was so impressive that I want to devote a post to some key aspects of Wonderland: * Virtual meeting participants can use voice to communicate with one another; * If necessary, participants can connect to a Wonderland meeting via telephone; * Private conversations between participants are possible in a virtual meeting; * Participants can share applications; and * Anyone can try out Wonderland (see instructions below).

Rapid advances in information technologies continue to drive a flood of data and analysis techniques in ecological and environmental sciences. Using these resources more effectively and taking advantage of associated cross-disciplinary research opportunities poses a major challenge to both scientists and information technologists. These challenges are now being addressed in projects that apply knowledge representation and Semantic Web technologies to problems in discovering and integrating ecological data and data analysis techniques. In this paper, we present an overview of the major ontological components of our project, SEEK ("Science Environment for Ecological Knowledge"). We describe the concepts and models that are represented in each, and present a discussion of potential applications of these ontologies on the Semantic Web

WikiProteins enables community annotation in a Wiki-based system. Extracts of major data sources have been fused into an editable environment that links out to the original sources. Data from community edits create automatic copies of the original data. Semantic technology captures concepts co-occurring in one sentence and thus potential factual statements. In addition, indirect associations between concepts have been calculated. We call on a 'million minds' to annotate a 'million concepts' and to collect facts from the literature with the reward of collaborative knowledge discovery. The system is available for beta testing at http://www.wikiprofessional.org