Extraction, integration and exploration of crowdsourced geospatial content from multiple web sources

Abstract

Our work focuses around a Web application that retrieves user-generated geospatial content from multiple popular Web sources, and applies schema mapping and entity matching techniques to obtain an integrated dataset. Moreover, density-based clustering of the obtained data is performed to reveal of interest for various data categories. An analysis and overview of the underlying data are also provided by computing various statistics that are visualized in a series of charts. Further data exploration and navigation is enabled via keyword search and faceted browsing. This demonstration covers all the steps of the process, from selecting an area and the sources for data collection, to visualizing and navigating the integrated results.

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