JCOM_V2_N1_RP5 Gomathi G. Vijayameena Journal on Computer Science 2347–6141 2 1 32 35 XML, Query Answering Support, Data Mining, Tree-Based Association Rules, Sedna Tool, Path-Join Algorithm Extensible Markup Language (XML) has become a de facto standard for storing, sharing and exchanging information across heterogeneous platforms. The XML content is growing day-by-day in rapid pace. Enterprises need to make queries on XML databases frequently. As huge XML data is available, it is a challenging task to extract required data from the XML database. It is computationally expensive to answer queries without any support. In this paper, the authors have presented a technique known as Tree-based Association Rules (TARs) mined rules that provide required information on structure and content of XML file and the TARs are also stored in XML format. The mined knowledge (TARs) is used later for XML query answering support. This enables quick and accurate answering. Distributed query processing is used to relate two or more databases using sedna tool. To search information from xml document, an algorithm called path-join algorithm is used. They also developed a prototype application to demonstrate the efficiency of the proposed system. The empirical results are very positive and query answering is expected to be useful in real time applications. March - May 2014 Copyright © 2014 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=2850