Colloquium -- DaVinci: A Visual Cataloging Framework for Big Spatial Data

Monday, October 30, 2017 - 3:30pm
HFH 1132
DaVinci: A Visual Cataloging Framework for Big Spatial Data
Professor Ahmed Eldawy
Professor Amr El Abbadi

Recently, there has been a marked increase in the amount of spatial data produced by modern devices including satellites, space telescopes, smartphones, IoT sensors, and medical devices. At the same time, there is a global Open Data movement by governments, organizations, and corporations who publicly share a large number of datasets. This leaves users with millions of potentially useful datasets without an efficient means of browsing them. This talk introduces DaVinci, a framework that provides a visual catalog that allows users to interactively browse through millions of datasets. Unlike existing frameworks that only displays metadata about the datasets, such as name and size, the proposed system displays an interactive image where users can actually see the data records before downloading the data. DaVinci consists of three main components: (1) an extensible visualization layer that supports a wide range of visualizations for various datasets and applications, (2) a novel distributed visualization index that organizes both images and data records to provide interactive visualization, and (3) a visualization server that handles visualization requests from users. An initial prototype of DaVinci shows a significant speedup and a huge reduction in index size as compared to the baselines.
Bio: Ahmed Eldawy is an Assistant Professor in Computer Science at the University of California, Riverside. His research interests lie in the broad area of databases with a focus on big data management and spatial data processing. Ahmed is the main inventor of SpatialHadoop, the most comprehensive open source system for big spatial data management. Ahmed has many collaborators in industrial research labs including Microsoft Research and IBM Watson. His research was awarded the Honorable Mention from the University of Minnesota in 2017, the Quality Metrics Fellowship in 2016, Doctoral Dissertation Fellowship in 2015, and Best Poster Runner-up award in ICDE 2014.

Everyone welcome!