The new site is here! Besides moving it to Wordpress, we have been working to engineer a site that will allow us to demonstrate some of the human-centered analytic technologies the DISCUS project has created. For each post, now you can analyze it with a single click using the links provided on the left-hand side. The first analytics tool released is based on KeyGraph techniques. Other DISCUS analysis techniques are already on the pipe and will reach the site soon. We have not stopped at reengineering the DISCUS site. We have also created an extension for Firefox that allow you to analyze the web page you are currently viewing. All DISCUS capabilities integrated in your browser. The DISCUS Firefox extension adds a DISCUS toolbar, some entries on the tools menu and in the right-click contextual menu. Hope you find it useful. Following the site, this toolbar will also grow and incorporate new features and human-centered analytic tools. ...

by Xavier Llorà, Noriko Imafuji Yasui, Michael Welge, David E. Goldberg (in press, 2007). To apper in the Proceedings of the Digital Humanities 2007 Conference.Also as IlliGAL TR No. 2006023. Link to the PDF. Abstract Blogging has become a new and disruptive communication medium. Blogs have changed the way people and organizations express, interact, and—quite unforeseen—exercise influence. The digital nature of the blog media provides access to an always-expanding corpus of information. It would take more than a lifetime to read all the available blogs necessary to answer questions such as what were the more relevant plots suggested or what key concepts were managed by bloggers in their ideas. However, human-centered analysis and visualization techniques may help users navigate such enormous corpus. This paper presents human-centered analysis and visualization techniques for supporting innovation and creativity can help to identify relevant post portions and to visualize concept relations in the blogosphere. ...

Recently I have been playing on implementing some extension for Firefox. When I started working on it, I was not aware on how far they have taken the use of metadata—I blogged before on metadata stores here. Actually, now you can query RDF data sources, which contain information ranging from your browsing history or bookmarks—to mention a few. But what makes it more exiting is that when you are writing extensions you can use java script to get that information stored by the browser using the RDF interface to do something useful. For instance, DISCUS is using it to provide on-the-fly analytics for the current page currently viewing. DISCUS will soon release a demo version of such a toolbar. If you want to read more about it, I would recommend the XULplanet.com. ...

The photo above is a snake preview of the 2007 The Point Calendar. This year the calendar has moved into the full-fledge digital era. Digital cameras and Mac were flying everywhere. Stay tuned, because this one is going to be very different from the 2005 and 2006 ones :)

Evolution to Knowledge (E2K) is a set of Data to Knowledge (D2K) modules and itineraries that perform genetic algorithms (GA) and genetics-based machine learning (GBML) related tasks. The goal of E2K is to fold: simplify the process of building GA/GBML related tasks, and provide a simple exploratory workbench for the evolutionary computation community to help users to interact with evolutionary processes. It can help to create complex tasks or help the newcomer to get familiarized and trained with the evolutionary methods and techniques provided. Moreover, due to its integration into D2K, the creation of combined data mining and evolutionary task can be effortlessly done via the visual programming paradigm provided by the workflow environment and also wrap other evolutionary computation software. E2K targets the creation of a common shared framework for the evolutionary computation community. E2K allows users to reuse evolutionary components and, using a visual programming paradigm, connect them to create applications that fulfill the targeted needs. E2K is a project built around the D2K framework developed by the Automated Learning Group at the National Center for Supercomputing Applications. D2K’s dataflow architecture provides users with a simple workbench where they can rapidly create applications visually by just dragging and connecting components (modules) together. E2K modules provide simple computation activities—such as evaluation, selection, and recombination mechanism—that when combined together create complex evolutionary computation algorithms. Due to the module standardization in D2K, it can act as integrator of evolutionary techniques and library—for instance wrapping ECJ or Open BEAGLE components—and also take advantage of the data mining techniques provided with the D2K. ...