Abstract
In this paper, we develop an XML document retrieval system for a digital museum. It can support unified retrieval on XML documents based on both document structure and image content. To achieve it, we perform the indexing of XML documents describing Korean porcelains used for a digital museum, based on not only their basic unit of element but also their image color and shape features. In addition, we provide a similarity measure for a unified retrieval to a composite query, based on both document structure and image content. Finally, we implement our XML document retrieval system designed for a digital museum and analyze its performance in terms of retrieval time, insertion time, storage overhead, as well as recall and precision measure.
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Chang, JW. (2005). Developing an XML Document Retrieval System for a Digital Museum. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_9
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DOI: https://doi.org/10.1007/11424758_9
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