MXDR:Distributed Information Retrieval for Multi-XML Document Based on Key words

The emergence of the Web has increased interests in XML data.Key words search has attracted a great deal of attention for retrieving XML data because it is a user-friendly mechanism.But Keyword search is hard to directly improve search quality because lots of keyword-matched nodes may not contribute to the results.A more important issue is the current studies are focused on single XML retrieval,lack of practicability.To address the challenge,this article proposed a new approach for automatically correcting queries over Multi-XML,called MXDR(Multi-XML Distributed Retrieval).We first classed multi-XML documents by a clustering method,and elicited the common structure information.Then generated certifiable structured queries by analyzing the given Key words query and the common structure information of XML datasets.We can evaluate the generated structured queries over the XML data sources with any existing structure search engine.We conducted an experimental study on real-life multi-XML datasets.The experimental results show that MXDR is effective and efficient in supporting structural queries,compared with existing proposals.