A web-based spatial data access system using semantic R-trees

Authors:
Shu-Ching Chen;Xinran Wang;Naphtali Rishe;Mark Allen Weiss
Affiliations:
School of Computer Science, Florida International University, Miami, FL;Microsoft Corporation, One Microsoft Way, Redmond, WA and School of Computer Science, Florida International University;School of Computer Science, Florida International University, Miami, FL;School of Computer Science, Florida International University, Miami, FL
Venue:
Information Sciences—Informatics and Computer Science: An International Journal
Year:
2004

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Abstract

With the increasing use of geographical data in real-world applications, Geographic Information Systems (GISs) have recently emerged as a fruitful area for research. In order to provide information to a multitude of users, the World Wide Web (WWW) techniques have been integrated into GISs. A high-performance web-based GIS, called TerraFly, has been developed in order to provide web-based GIS accesses to the general public. The design of TerraFly considers two major aspects: (1) the system architecture including client, database server, proxy server and information server; and (2) the semantic R-tree data structure and semantic queries. The system architecture utilizes the existing resources to achieve maximum performance by using the "internally Distributed Multithreading (IDMT)" technique. The spatial access method, semantic R-trees, is used to search for an object, based on both spatial and semantic information. System performance results are presented and analyzed. Reducing network traffic to achieve faster response to users is also discussed.