Semantic Caching in Location-Dependent Query Processing
A method is presented in this paper for answering location-dependent queries in a mobile computing environment. We investigate a common scenario where data objects (e.g., restaurants and gas stations) are stationary while clients that issue queries about the data objects are mobile. Our proposed tec...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2001
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/1065 http://dx.doi.org/10.1007/3-540-47724-1_6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.sis_research-2064 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.sis_research-20642010-12-22T08:24:06Z Semantic Caching in Location-Dependent Query Processing ZHENG, Baihua LEE, Dik Lun A method is presented in this paper for answering location-dependent queries in a mobile computing environment. We investigate a common scenario where data objects (e.g., restaurants and gas stations) are stationary while clients that issue queries about the data objects are mobile. Our proposed technique constructs a Voronoi Diagram (VD) on the data objects to serve as an index for them. A VD defines, for each data object d, the region within which d is the nearest point to any mobile client within that region. As such, the VD can be used to answer nearest-neighbor queries directly. Furthermore, the area within which the answer is valid can be computed. Based on the VD, we develop a semantic caching scheme that records a cached item as well as its valid range. A simulation is conducted to study the performance of the proposed semantic cache in comparison with the traditional cache and the baseline case where no cache is used. We show that the semantic cache has a much better performance than the other two methods. 2001-07-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/1065 info:doi/10.1007/3-540-47724-1_6 http://dx.doi.org/10.1007/3-540-47724-1_6 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Mobile radiocommunication Mobility Database query Object location Voronoï diagram Nearest neighbour Cache memory Semantics Spatial database Databases and Information Systems Numerical Analysis and Scientific Computing |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Mobile radiocommunication Mobility Database query Object location Voronoï diagram Nearest neighbour Cache memory Semantics Spatial database Databases and Information Systems Numerical Analysis and Scientific Computing |
spellingShingle |
Mobile radiocommunication Mobility Database query Object location Voronoï diagram Nearest neighbour Cache memory Semantics Spatial database Databases and Information Systems Numerical Analysis and Scientific Computing ZHENG, Baihua LEE, Dik Lun Semantic Caching in Location-Dependent Query Processing |
description |
A method is presented in this paper for answering location-dependent queries in a mobile computing environment. We investigate a common scenario where data objects (e.g., restaurants and gas stations) are stationary while clients that issue queries about the data objects are mobile. Our proposed technique constructs a Voronoi Diagram (VD) on the data objects to serve as an index for them. A VD defines, for each data object d, the region within which d is the nearest point to any mobile client within that region. As such, the VD can be used to answer nearest-neighbor queries directly. Furthermore, the area within which the answer is valid can be computed. Based on the VD, we develop a semantic caching scheme that records a cached item as well as its valid range. A simulation is conducted to study the performance of the proposed semantic cache in comparison with the traditional cache and the baseline case where no cache is used. We show that the semantic cache has a much better performance than the other two methods. |
format |
text |
author |
ZHENG, Baihua LEE, Dik Lun |
author_facet |
ZHENG, Baihua LEE, Dik Lun |
author_sort |
ZHENG, Baihua |
title |
Semantic Caching in Location-Dependent Query Processing |
title_short |
Semantic Caching in Location-Dependent Query Processing |
title_full |
Semantic Caching in Location-Dependent Query Processing |
title_fullStr |
Semantic Caching in Location-Dependent Query Processing |
title_full_unstemmed |
Semantic Caching in Location-Dependent Query Processing |
title_sort |
semantic caching in location-dependent query processing |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2001 |
url |
https://ink.library.smu.edu.sg/sis_research/1065 http://dx.doi.org/10.1007/3-540-47724-1_6 |
_version_ |
1770570843852636160 |