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Quality-Driven Geospatial Data Integration Snehal Thakkar, Craig A. Knoblock, Jose Luis Ambite
 

Summary: Quality-Driven Geospatial Data Integration
Snehal Thakkar, Craig A. Knoblock, Jose Luis Ambite
University of Southern California
Information Sciences Institute
4676 Admiralty Way
Marina del Rey, CA 90292
thakkar,knoblock,ambite@isi.edu
ABSTRACT
Accurate and efficient integration of geospatial data is an
important problem with applications in areas such as emer-
gency response and urban planning. Some of the key chal-
lenges in supporting large-scale geospatial data integration
are automatically computing the quality of the data pro-
vided by a large number of geospatial sources and dynam-
ically providing high quality answers to the user queries
based on a quality criteria supplied by the user. We describe
a framework called the Quality-driven Geospatial Mediator
(QGM) that supports efficient and accurate integration of
geospatial data from a large number of sources. The key con-
tributions of our framework are: (1) the ability to automat-

  

Source: Ambite, Josť Luis - Information Sciences Institute & Department of Computer Science, University of Southern California

 

Collections: Computer Technologies and Information Sciences