Developing an XML document retrieval system for a digital museum

Jae Woo Chang

doi:10.1007/11424758_9

Developing an XML document retrieval system for a digital museum

Jae Woo Chang^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

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.

Original language	English
Pages (from-to)	77-86
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3480
Issue number	I
DOIs	https://doi.org/10.1007/11424758_9
State	Published - 2005
Event	International Conference on Computational Science and Its Applications - ICCSA 2005 - , Singapore Duration: 2005.05.9 → 2005.05.12

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems

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10.1007/11424758_9

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title = "Developing an XML document retrieval system for a digital museum",

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.",

author = "Chang, \{Jae Woo\}",

year = "2005",

doi = "10.1007/11424758\_9",

language = "English",

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journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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note = "International Conference on Computational Science and Its Applications - ICCSA 2005 ; Conference date: 09-05-2005 Through 12-05-2005",

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AB - 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.

UR - https://www.scopus.com/pages/publications/24944476641

U2 - 10.1007/11424758_9

DO - 10.1007/11424758_9

M3 - Conference article

AN - SCOPUS:24944476641

SN - 0302-9743

VL - 3480

SP - 77

EP - 86

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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T2 - International Conference on Computational Science and Its Applications - ICCSA 2005

Y2 - 9 May 2005 through 12 May 2005

ER -

Developing an XML document retrieval system for a digital museum

Abstract

Quacquarelli Symonds(QS) Subject Topics

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