Keyword Search in Web-based Geographic Information Retrieval System

Abstract

Web-based geographic information search engines are prominently used in recent years. Spatial databases have both spatial and textual descriptions. Geographic web search engine retrieves the nearest objects that are the most textually and spatially relevant according to the user required keywords. Many number of spatial keyword query methods have been proposed and a variety of applications has been developed in GIS decision support system. This paper proposes category based new combined index structure which integrates R* tree and inverted file. The proposed system can efficiently be used both multidimensional points and spatial data. The proposed system is capable for good performance and reduces the storage cost.