Efficient Filtering Algorithm for Scalable XML-Based Publish/Subscribe Mobile System
International Conference on Advances in Engineering and Technology (ICAET'2014) March 29-30, 2014 Singapore · 2014
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.