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

Efficient Filtering Algorithm for Scalable XML-Based PublishSubscribe Mobile System

http://hdl.handle.net/20.500.12678/0000007786
http://hdl.handle.net/20.500.12678/0000007786
8f2653e8-bd93-49f6-b209-a5c5894a1a51
ae2951f2-9b53-43f5-9869-e3b17ea67031
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Efficient Efficient Filtering Algorithm for Scalable XML-Based PublishSubscribe Mobile System.pdf (752 KB)
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Conference paper
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Publication
Title
Title Efficient Filtering Algorithm for Scalable XML-Based PublishSubscribe Mobile System
Language en
Publication date 2014-03-05
Authors
Yi Yi Myint
Hninn Aye Thant
Description
Extensible Markup Language (XML) filtering systems comprise an essential component of recent information-seeking applications. The inherent limitations of mobile devices require information to be delivered to mobile clients to be highly personalized consistent with their profiles. The publish/subscribe (pub/sub) model has gained acceptance as a solution for enabling Selective Dissemination of Information (SDI) to mobile clients. In this paper, we propose an approach that integrates pub/sub system and XML filtering to deliver notifications with personalized information from XML data sources to mobile clients. The proposed architecture describes an efficient indexing mechanism for filtering and matching of XML documents against a large number of user profiles expressed with the XML-QL language. Our proposed algorithm is modified the Finite State Machine (FSM) approach based on XFilter algorithm to be used in mobile environment achieving good scalability.
Keywords
XML, User Profiles, SDI, Mobile Clients
Conference papers
ICAET
March 29-30, 2014
Proc. of 1st Intl. Conf. on Advances in Engineering and Technology (ICAET 2014)
Singapore
http://iieng.org/images/proceedings_pdf/3242E0314055.pdf
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