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Proceedings ArticleDOI

Location dependent query processing

TLDR
This paper gives a formalization of location relatedness in queries and distinguishes location dependence and location awareness and provides thorough examples to support the approach.
Abstract
The advances in wireless and mobile computing allow a mobile user to perform a wide range of aplications once limited to non-mobile hard wired computing environments As the geographical position of a mobile user is becoming more trackable, users need to pull data which are related to their location, perhaps seeking information about unfamiliar places or local lifestyle data In these requests, a location attribute has to be identified in order to provide more efficient access to location dependent data, whose value is determined by the location to which it is related Local yellow pages, local events, and weather information are some of the examples of these dataIn this paper, we give a formalization of location relatedness in queries We differentiate location dependence and location awareness and provide thorough examples to support our approach

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Citations
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Journal ArticleDOI

Data management in location-dependent information services

TL;DR: Location-dependent information services have great promise for mobile and pervasive computing environments as discussed by the authors and can provide local and nonlocal news, weather, and traffic reports as well as directory services.
Journal ArticleDOI

Location-dependent query processing: Where we are and where we are heading

TL;DR: The technological context (mobile computing) and support middleware (such as moving object databases and data stream technology) are described, location-based services and location-dependent queries are defined and classified, and different query processing approaches are reviewed and compared.
Journal ArticleDOI

Main Memory Evaluation of Monitoring Queries Over Moving Objects

TL;DR: Experimental evaluation establishes that indexing queries using the grid index yields orders of magnitude better performance than other index structures such as R*-trees.
Book ChapterDOI

Efficient Evaluation of Continuous Range Queries on Moving Objects

TL;DR: In this paper, the authors evaluate several in-memory algorithms for efficient and scalable processing of continuous range queries over collections of moving objects and present a detailed analysis of a grid approach which shows the best results for both skewed and uniform data.
Proceedings ArticleDOI

Dynamic data management for location based services in mobile environments

TL;DR: A set of dynamic data management strategies that employs judicious caching, proactive server pushing and neighborhood replication to reduce service cost and improve response time under changing user mobility and access patterns are proposed.
References
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Book

Theory of Relational Databases

David Maier
TL;DR: The method of operating a water-cooled neutronic reactor having a graphite moderator which comprises flowing a gaseous mixture of carbon dioxide and helium, in which the helium comprises 40-60 volume percent of the mixture, in contact with thegraphite moderator.
Book

The theory of relational databases

David Maier
TL;DR: In this article, the graphite moderator is replaced by a gaseous mixture of carbon dioxide and helium, in which the helium comprises 40-60 volume percent of the mixture.
Journal ArticleDOI

The challenges of mobile computing

TL;DR: The authors focus on the goal of large-scale, hand-held mobile computing as a way to reveal a wide assortment of issues and look at some promising approaches under investigation and also consider their limitations.
Journal ArticleDOI

A foundation for representing and querying moving objects

TL;DR: The paper formally defines the types and operations, offers detailed insight into the considerations that went into the design, and exemplifies the use of the abstract data types using SQL.
Proceedings ArticleDOI

Modeling and querying moving objects

TL;DR: This work proposes a data model for representing moving objects in database systems called the Moving Objects Spatio-Temporal (MOST) data model, and devise an algorithm for processing FTL queries in MOST.
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