Skip to main content
SpringerLink
Log in
Book cover

Multimedia Mining pp 179–196Cite as

Web multiform data structuring

  • Chapter

Part of the book series: Multimedia Systems and Applications Series ((MMSA,volume 22))

Abstract

In the context of e-commerce, analyzing the behavior of a customer, a product, or a company consists in monitoring one or several activities (commercial or medical pursuits, patent deposits, etc.). The objective of multidimensional analysis, particularly OLAP (On-Line Analytical Processing), is to analyze such activities under the form of numerical data. The information is summarized and can be presented as relevant information (i.e., knowledge) allowing to couple OLAP with other analysis tools such as KDD (Knowledge Discovery in Databases) techniques (namely, data mining), whose objectives include understanding and predicting the behavior of one or several activities. Hence, the scope of analysis can be extended.

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

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
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abiteboul, S., et al. (1997). The Lorel query language for semi structured data. International Journal on Digital Libraries 1(1), 68–88.

    Article  MathSciNet  Google Scholar 

  • Anderson, R., et al. (2000). Professional XML Databases. Wrox Press.

    Google Scholar 

  • Bertino, E., Catania, B., and Zarri, G.P. (2001). Intelligent Database Systems. Addison Wesley.

    Google Scholar 

  • Bray, T., et al., Eds. (2000). Extensible Markup Language (XML) 1.0 (Second Edition). http://www.w3.org.

    Google Scholar 

  • Busse, S., et al. (1999). Federated Information systems: Concepts, Terminology and Architectures. Forschungsberichte des Fachbereichs Informatik 99(9).

    Google Scholar 

  • Ceri, S., et al. (1999). XML-GL: a graphical language for querying and restructuring XML documents. International World Wide Web Conference, Canada.

    Google Scholar 

  • Chaudhuri, S., and Dayal, U. (1997). Data Warehousing and OLAP for Decision Support. ACM SIGMOD International Conference on Management of Data (SIGMOD 97), Tucson, USA, 507–508.

    Google Scholar 

  • Christophides, V., et al. (1994). From Structured Documents to Novel Query Facilities. ACM SIGMOD International Conference on Management of Data, Minneapolis, USA, 313–324.

    Google Scholar 

  • Cover, R. (2001). XML Metadata Interchange (XMI). http://xml.coverpages.org/xmi.html.

    Google Scholar 

  • Deutsch, A., Fernandez, M., and Suciu, D. (1999). Storing semistructured Data with STORED. ACM SIGMOD International Conference on Management of Data, Philadelphia, USA, 431–442.

    Google Scholar 

  • Deutsch, A., et al. (1999). XML-QL: A Query Language for XML. International World Wide Web Conference, Canada.

    Google Scholar 

  • Deutsch, A., et al. (1999). Querying XML Data. IEEE Data Engineering Bulletin 22(3), 10–18.

    Google Scholar 

  • Edmonds, A. (2001). A General Background to Supervised Learning in Combination with XML. Technical paper, Scientio Inc. http://www.metadatamining.com.

    Google Scholar 

  • Fallside, D.C., ed. (2001). XML Schema. http://www.w3.org.

    Google Scholar 

  • Fernandez, M., et al. (1998). Catching the Boat with Strudel: Experiences with a Web-Site Management System. ACM SIGMOD International Conference on Management of Data, Seattle, USA, 414–425.

    Google Scholar 

  • Fernandez, M., Marsh, J., and Nagy, M., Eds. (2001). XQuery 1.0 and XPath 2.0 Data Model. http://www.w3.org.

    Google Scholar 

  • Florescu, D., and Kossmann, D. (1999). Storing and Querying XML Data using an RDMBS. IEEE Data Engineering Bulletin 22(3), 27–34.

    Google Scholar 

  • Hackathorn, R. (2000). Web farming for the data warehouse. Morgan Kaufmann.

    Google Scholar 

  • Hopmann, A., Berkun, S., Hatoun, G. (1997). Web collections using XML. http://www.w3.org.

    Google Scholar 

  • Hsiao, D. (1992). Federated Databases and Systems: Part I – A Tutorial on Their DataSharing. VLDB Journal 1(1), 127–179.

    Article  Google Scholar 

  • Hsiao, D. (1992). Federated Databases and Systems: Part II – A Tutorial on Their Resource Consolidation. VLDB Journal 1(2), 285–310.

    Article  Google Scholar 

  • Inmon, W.H. (1996). Building the Data Warehouse. John Wiley & Sons.

    Google Scholar 

  • Kappel, G., Kapsammer, E., and Retschitzegger, W. (2000). X-Ray – Towards Integrating XML and Relational Database Systems. 19 th International Conference on Conceptual Modeling, 339–353.

    Google Scholar 

  • Kimball, R. (1996). The data warehouse toolkit. John Wiley & Sons.

    Google Scholar 

  • Kimball, R., and Mertz, R. (2000). The Data Webhouse: Building the Web-enabled Data Warehouse. John Wiley & Sons.

    Google Scholar 

  • McHugh, J., et al. (1997). Lore: A Database Management System for Semi-structured Data. SIGMOD Record 26(3), 54–66.

    Article  Google Scholar 

  • Miniaoui, S., Darmont, J., and Boussaid, O. (2001). Web data modeling for integration in data warehouses. First International Workshop on Multimedia Data and Document Engineering (MDDE 01), Lyon, France, 88–97.

    Google Scholar 

  • Nestorov, S., Abiteboul, S., and Motwani, R. (1998). Extracting Schema from Semistructured Data. ACM SIGMOD International Conference on Management of Data, Seattle, USA, 295–306.

    Google Scholar 

  • OMG. (1999). Unified Modeling Language Specification, Version 1.3. Object Management Group, Inc.

    Google Scholar 

  • Rakow, T.C., Neuhold, E.J., and Löhr, M. (1995). Multimedia Database Systems – The Notions and the Issues. Datenbanksysteme in Büro, Technik und Wissenschaft BTW, GI-Fachtagung, Dresden, 1–29.

    Chapter  Google Scholar 

  • Robie, J., Lapp, J., and Schach, D. (1998). XML Query Language (XQL). http://www.w3.org/TandS/QL/QL98/pp/xql.html.

    Google Scholar 

  • Shanmugasundaram, J., et al. (1999). Relational Databases for Querying XML Documents: Limitations and Opportunities. 25 th International Conference on Very Large Data Bases (VLDB 99), Edinburgh, Scotland, 302–314.

    Google Scholar 

  • Shanmugasundaram, J., et al. (2001). A General Technique for Querying XML Documents using a Relational Database System. SIGMOD record 30(3), 302–314.

    Article  Google Scholar 

  • Shoens, K., et al. (1993). The Rufus System: Information Organization for Semi-Structured Data. 19th International Conference on Very Large Data Bases, Dublin, Ireland, 97–107.

    Google Scholar 

  • Tan, A.H. (1999). Text Mining: The state of the art and the challenges. PAKDD 99 Workshop on Knowledge discovery from Advanced Databases (KDAD 99), Beijing, China, 71–76.

    Google Scholar 

  • Thuraisingham, B. (2001). Managing and Mining Multimedia Databases. CRC Press.

    Google Scholar 

  • Wu, M.C., and Buchmann, A.P. (1997). Research Issues in Data Warehousing. BTW ′ 97 Ulm.

    Google Scholar 

  • Zhang, J., Hsu, W., and Lee, M.L. (2001). An Information-Driven Framework for Image Mining. 12th International Conference on Database and Expert Systems Applications (DEXA 2001), Munich, Germany; LNCS (2113), 232–242.

    Google Scholar 

  • Zwol, R., Apers, P., and Wilschut, A. (1999). Modelling and querying semistructured data with MOA. Workshop on Query processing for semistructured data and non-standard data formats.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ERIC, Université Lumière Lyon 2, France

    J. Darmont, O. Boussaid, F. Bentayeb, S. Rabaseda & Y. Zellouf

Authors
  1. J. Darmont
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. O. Boussaid
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. F. Bentayeb
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S. Rabaseda
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Y. Zellouf
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Polytechnic School of Nantes University, France

    Chabane Djeraba

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Darmont, J., Boussaid, O., Bentayeb, F., Rabaseda, S., Zellouf, Y. (2003). Web multiform data structuring. In: Djeraba, C. (eds) Multimedia Mining. Multimedia Systems and Applications Series, vol 22. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1141-0_10

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-1141-0_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5412-3

  • Online ISBN: 978-1-4615-1141-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation