The European Union-funded Palette project has developed online tools that have led to new approaches to the science of education. “There are many online collaboration tools, but most of them are oriented towards enterprises, not communities,” says Palette coordinator Christine Vanoirbeek. She says the semantic Web plays a key role in the project, as it is more about intelligent Web-searching, which is based on interlinked concepts. One of the objectives of Palette was to get communities of practice to develop their own ontologies. Many of the Palette tools also exploit the advantages of Web 2.0 social networking technologies or the document-searching capabilities of the semantic Web, such as ways to east document sharing across the Internet by eliminating the need to exchange emails or open a series of applications during a collaboration. “The big challenge in the Palette project was to make these tools interoperable, so that the tools could be combined and information reused,” Vanoirbeek says.
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Louisiana State University (LSU) professors Supratik Mukhopadhyay and S.S. Iyengar have developed software that can monitor systems and use the data it collects to make decisions on what to do next. The software can sift through massive amounts of data to detect a complex event or pattern. Iyengar says a complex event might involve multiple events that take place over time, with the software comparing the current circumstances to events in the past. Each time the network takes an action, it reevaluates the situation to make the next decision. Iyengar says the software learns quickly, which makes the system as efficient as possible. The researchers’ goal is to embed the software in a computer chip so that customers can take the chip and develop their own interface. They say the system could be adapted for use in many applications, such as military procedures, golf course sprinkler systems, and the electrical power grid.
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