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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer Science

Scalable Filtering and Matching of XML Documents in PublishSubscribe Systems for Mobile Environment

http://hdl.handle.net/20.500.12678/0000007784
http://hdl.handle.net/20.500.12678/0000007784
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dc648d8f-eb4c-4146-83fc-e4091d3ddcfd
None
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IJARCET-VOL-2-ISSUE-12-3011-3016.pdf IJARCET-VOL-2-ISSUE-12-3011-3016.pdf (282 KB)
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Publication type
Journal article
Upload type
Publication
Title
Title Scalable Filtering and Matching of XML Documents in PublishSubscribe Systems for Mobile Environment
Language en
Publication date 2013-12-13
Authors
Yi Yi Myint
Hninn Aye Thant
Description
The number of applications using XML data representation is growing rapidly, thus the process of XML filtering is becoming an essential need of publish/subscribe (pub/sub) system. The pub/sub model has gained acceptance as a solution for the loose coupling of systems in terms of asynchronous communication enabling Selective Dissemination of Information (SDI). SDI systems distribute the right information to the right users based upon their profiles. The inherent limitations of mobile devices necessitate information to be delivered to mobile clients to be highly personalized according to user profiles. In this paper, we address the issue of scalable filtering of XML documents for mobile environment. This paper proposes an approach that integrates pub/sub system and XML message filtering to deliver personalized information from XML resources to mobile clients. Finally, the proposed architecture describes an efficient indexing mechanism by enhancing XFilter algorithm based on a modified Finite State Machine (FSM) approach to achieve good scalability.
Keywords
FSM, indexing mechanism, SDI, XML
Journal articles
Issue 12, ISSN: 2278 – 1323
Intl. J. Advanced Research in Computer Engineering and Technology (IJARCET)
Pages 3011-3016
Vol. 2
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