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Since the end of the 20th century data have been gathered in an unprecedented and growing scale, by using a variety of devices and information systems, ranging from sensors to the social Web. The resulting heterogeneous collections of unconventional data, particularly complex data (XML, Web data, maps, time series, etc.), cannot be constrained just to relational tuples, and require new methods for data handling and information extraction. This paper introduces the research efforts on unconventional complex data management and analysis being developed by the database group of the Universidade Federal de Santa Catarina.
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