In this paper, we design an XML document retrieval system used for a digital museum. The system can retrieve XML documents based on both document structure and content. In order to support retrieval based on document structure, we perform the indexing of XML documents based on their basic unit of elements. For supporting retrieval based on content, we design a high-dimensional index structure using the CBF [1] method. Finally, we provide a similarity measure for retrieval on a composite query, based on both document structure and content. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Chang, J. W., & Kim, Y. J. (2005). XML document retrieval for digital museum. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3815 LNCS, pp. 463–464). https://doi.org/10.1007/11599517_56
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