GIVA: a semantic framework for geospatial and temporal data integration, visualization, and analytics

Authors:
Isabel F. Cruz;Venkat R. Ganesh;Claudio Caletti;Pavan Reddy
Affiliations:
University of Illinois at Chicago;University of Illinois at Chicago;University of Illinois at Chicago;University of Illinois at Chicago
Venue:
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Year:
2013

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Abstract

The availability of a wide variety of geospatial datasets demands new mechanisms to perform their integrated analysis and visualization. In this demo paper, we describe our semantic framework, GIVA, for Geospatial and temporal data Integration, Visualization, and Analytics. Given a geographic region and a time interval, GIVA addresses the problem of accessing simultaneously several datasets and of establishing mappings between the underlying concepts and instances, using automatic methods. These methods must consider several challenges, such as those that arise from heterogeneous formats, lack of metadata, and multiple spatial and temporal data resolutions. A web interface lets users interact with a map and select datasets to be integrated, displaying as a result reports where values pertaining to different datasets are compared, analyzed, and visualized.