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Semantic Prefetching Strategy to Manage Location Dependent Data in Mobile Information Systems
Author(s) -
Sang-Won Kang,
MoonBae Song,
Kwangjin Park,
ChongSun Hwang
Publication year - 2005
Publication title -
mobile information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.346
H-Index - 34
eISSN - 1875-905X
pISSN - 1574-017X
DOI - 10.1155/2005/468527
Subject(s) - computer science , distributed computing , information retrieval , real time computing , database
In mobile computing environments, location plays an important role in determining user's interests. If service providers can supply information reflecting users' semantics, overall system performance can be improved. Users can avoid queries, resulting in unnecessary network usage. A query result can also be transferred to a local device. Through our proposed semantic prefetching scheme, we make it possible to send data to mobile clients in advance. Researchers have been, for a long time, trying to develop a method to overcome mobile information system issues. These issues consist mainly of low bandwidth, high delay and frequent disconnections. In this paper, we represent the semantic prefetching strategy, which utilizes users' interests, relating to a users' current location. Our performance results show that this method is superior when compared with traditional semantic cache schemes

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