Penn State University (PSU) professor Jim Jansen recently conducted a study to identify the characteristics of users who are looking for real-time content. Jansen found that many users of real-time search engines are doing so from secondary applications rather than from the platform’s Web site, that queries tend to repeat over multiple days, and that the searches tend to focus on technology, entertainment, and politics. “The access of real-time search results from secondary application has important implications for how these results are used and how the results can be leveraged for marketing purposes,” Jansen says. He notes that “as people become more accustomed to using real-time content, real-time search will become still more important.”
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Oak Ridge National Laboratory researchers have developed the Knowledge Acquisition Ubiquitous Agent Infrastructure (KAUAI), a framework for gathering and analyzing data from mobile devices in the field without the need for central repositories or back-end systems, which could enable users to quickly send information directly to colleagues in control centers or bases. The researchers say KAUAI takes advantage of the increased power and functionality of the latest mobile devices, which enables them to perform computational tasks. KAUAI is a Java-based mobile agent framework that makes each mobile device a part of a distributed database that can be queried centrally or by other mobile devices. The infrastructure runs on both the standard J2SE Java Virtual Machine and a mobile JVM for Windows Mobile called CrE-ME. “Distributed solutions outperform the centralized solution in terms of speed for each query, and the speed of the distributed search depends on the amount of query-related data in the system,” the researchers write.
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