Research On The Data Integration Engineering Of The Information Management System Based On XML

Along with the fast development of web technology and the application,XML already became the important standard of the information expression and data exchange on the Internet,XML has the widespread application in the electronic commerce,the data exchange, the scientific data expressed, data model and search engine and so on,its function penetrated into each corner of the network community. Moreover the current database's development presents three chief features:Supporting the XML data format,having the commercial intelligence,supporting SOA (service-oriented architecture).Along with the massive XML data's emergence and transmission,demand to the XML data management has produced, therefore how to express the effectively the memory,the management,inquire and unearth these XML data or the data stream have become in the current XML database domain an important challenge,has the very important theory and the application value,this article gives a research on the XML data intelligence management precisely based on this background.This article gives the research on expression, inquiry and clustering of the XML data/data stream's,the achievement which the research content and obtains mainly manifests in the Intelligent clustering and inquiry of the data aspects:The data cluster is an effective measure to improve the data quality and raise the data inquiry efficiency. Along with development of Internet, the importance of XML data intelligent clustering and inquiry is known gradually by the people; in view of the multifarious detection and bad flexible formerly of the XML data clustering, this article attempts a new clustering method using PSO algorithm through combining the XML key, integrating the PSO algorithm, introducing Bays studying method and the hidden Markov model information extraction strategy reasonably constructs the meta-data model in the process of XML data clustering, and considering the similar redundant record in the clustering of structured data;Simultaneously introduces intelligent algorithm to enhance the intelligence and the validity of the XML data inquiry,specially the PSO algorithm has the fast stochastic overall search ability, but is unable to use the feedback information,but the ant swam algorithm has the distributional parallel overall search ability through accumulating and renewing the information of the element to restrain in the optimal choice,but in the initial period information is deficient,solution speed is slow,so use the heuristic method,unify the XML half structure characteristic,integrates the PSO algorithm and the ant swam algorithm in the XML probability inquiry,and makes the corresponding improvement,produce information distribution using PSO algorithm fast,solve precisely using the ant swam algorithm,achieve the survival of the fittest, enhances the scope of data inquiry and the efficiency of restraining.