期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：2
页码：748-754
语种：English
出版社：Ayushmaan Technologies
摘要：Customer liking queries are very important in spatial databases. We propose a definition of a spatial database system as a database system that offers spatial data types in its data model and query language and supports spatial data types in its implementation, providing at least spatial indexing and spatial join methods. Spatial database systems offer the underlying database technology for geographic information systems and other applications. We survey data modeling, querying, data structures and algorithms, and system architecture for such systems. The emphasis is on describing known technology in a coherent manner rather than on listing open problems.. The featured score of a given object is derived from the quality of features (e.g., location and nearby features) in its spatial neighborhood This neighborhood concept can be defined by different functions by the user. It can be an explicit circular region within a given distance from the flat. Another sensitive definition is to assign higher rates to the features based on their proximity to the land. In this paper, we formally define spatial preference queries and propose suitable dynamic index techniques and searching algorithms for them. We extend results with dynamic index structure in order to accommodate time – variant changes in the spatial data. In my current work is the top-k spatial preference query on road network, in which the distance between object and road is defined by their shortest path distance. By separating this query as a subset of dynamic skyline queries N2S2 algorithm is provided for computing it. This algorithm has good performance compared with the general branch and bound algorithm for skyline queries.
