Exibida - Exibida
Big Data is to a high degree the result from an unprecedented scale of user-generated data, increasing availability of open access to governmental data, and the declining cost of collecting and storing enterprise data and scientific data sets.
A large fraction of Big Data is textual, and has spatial and temporal dimensions. A prime example is textual social media data, which can have associated the location of the user when he/she wrote the message and the timestamp of when it was posted. In ExiBiDa, we will focus on exploratory analysis of data containing such spatiotemporal-textual (STT) contents, and develop frameworks and scalable techniques (i.e., efficient algorithms and index structures) for supporting analytical queries on such data.