Online data integration of large XML documents provides the most up-to-date results from the processing of user requests issued at a central site of heterogeneous multi-database system. The fragments of large XML documents received from the remote sites are continuously combined with the most current state of integrated documents. Online integration of fragmented XML documents has a positive impact on performance of entire online data integration system. This paper presents the online integration procedures for the fragments of large XML documents. We propose a new model of data for fragmented XML documents and we define a set of operations to manipulate the fragments. A new optimisation procedure presented in the paper finds the smallest core of each new fragment that can be integrated with the documents available at a central site. We show that processing of the smallest cores of XML fragments significantly reduces overall processing time.
CITATION STYLE
Handoko, & Getta, J. R. (2017). Online integration of fragmented XML documents. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10191 LNAI, pp. 13–23). Springer Verlag. https://doi.org/10.1007/978-3-319-54472-4_2
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