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Erschienen in:
2006 | OriginalPaper | Buchkapitel
XML Document Retrieval System Based on Document Structure and Image Content for Digital Museum
verfasst von : Jae-Woo Chang, Yeon-Jung Kim
Erschienen in: Advanced Web and Network Technologies, and Applications
Verlag: Springer Berlin Heidelberg
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In this paper, we design 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 index structures for the unified retrieval 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 insert time and retrieval time for simple queries and composite queries.