Skip to main content

XML Document Retrieval System Based on Document Structure and Image Content for Digital Museum

  • Conference paper
Advanced Web and Network Technologies, and Applications (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3842))

Included in the following conference series:

Abstract

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.

This work is financially supported by the Ministry of Education and Human Resources Development(MOE), the Ministry of Commerce, Industry and Energy(MOCIE) and the Ministry of Labor(MOLAB) though the fostering project of the Lab of Excellency.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. eXtensible Markup Language(XML), http://www.w3.org/TR/PR-xml-971208

  2. Zhang, C., Naughton, J., De Witt, D., Luo, Q., Lohman, G.: On Supporting Containment Queries in Relational Database Management Systems. In: Proc. ACM Int’l Conf. on Management of Data, pp. 425–436 (2001)

    Google Scholar 

  3. Wang, H., Park, S., Fan, W., Yu, P.S.: ViST: A Dynamic Index Method for Querying XML Data by Tree Structures. In: Proc. ACM Int’l Conf. on Management of Data, pp. 110–121 (2003)

    Google Scholar 

  4. Chen, Q., Lim, A., Ong, K.W.: D(k)-Index: An Adaptive Structural Summary for Graph-structured Data. In: Proc. ACM Int’l Conf. on Management of Data, pp. 134–144 (2003)

    Google Scholar 

  5. Flickner, M., et al.: Query by Image and Video Content: The QBIC System. IEEE Computer 28(9), 23–32 (1995)

    Google Scholar 

  6. Antani, S., Kasturi, R., Jain, R.: A Survey on the Use of Pattern Recognition Methods for Abstraction, Indexing and Retrieval of Images and Video. Pattern Recognition 35(4), 945–965 (2002)

    Article  MATH  Google Scholar 

  7. Lyu, M.R., Yau, E., Sze, S.: A Multilingual, Multimodal Digital Video Library System. In: Proc. ACM/IEEE-CS Joint Conf. on Digital Libraries, pp. 145–153 (2002)

    Google Scholar 

  8. http://www.jclark.com/sp

  9. Bezdek, J.C., Triedi, M.M.: Low Level Segmentation of Aerial Image with Fuzzy Clustering. IEEE Trans. on SMC 16, 589–598 (1986)

    Google Scholar 

  10. Han, S.G., Chang, J.W.: A New High-Dimensional Index Structure using a Cell-based Filtering Technique. In: Masunaga, Y., Thalheim, B., Štuller, J., Pokorný, J. (eds.) ADBIS 2000 and DASFAA 2000. LNCS, vol. 1884, pp. 79–92. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  11. Salton, G., McGill, M.: An Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)

    Google Scholar 

  12. Deux, O., et al.: The O2 System. Communication of the ACM 34(10), 34–48 (1991)

    Article  Google Scholar 

  13. Westermann, U., Klas, W.: An Analysis of XML Database Solutions for the Management of MPEG-7 Media Descriptions. ACM Computing Surveys 35(4), 331–373 (2003)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chang, JW., Kim, YJ. (2006). XML Document Retrieval System Based on Document Structure and Image Content for Digital Museum. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_12

Download citation

  • DOI: https://doi.org/10.1007/11610496_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31158-4

  • Online ISBN: 978-3-540-32435-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics