Reasoning for Complex Data
Ricardo da Silva Torres · 2015
The exponential growth of digital information production and dissemination, as well as its huge diversification, introduce considerable management and access challenges. At the same time, new opportunities have been created by the development and use of analysis methods for the discovery of interesting and potentially useful patterns, present in the data sets. In this lecture, I will introduce research initiatives at Unicamp concerning the management of large volumes of Complex Data. The term Complex Data is associated with the universe of unstructured, semi-structured, and multimodal data, and therefore covers a wide variety of data as text, sound, image, video, geographic information, among others. This talk will show the versatility of ongoing research initiatives in three important applications: Information Retrieval, Multimedia Classification, and e-Science.