Skip to main content

New Challenges in Information Integration

  • Conference paper
Data Warehousing and Knowledge Discovery (DaWaK 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5691))

Included in the following conference series:

Abstract

Information integration is the cornerstone of modern business informatics. It is a pervasive problem; rarely is a new application built without an initial phase of gathering and integrating information. Information integration comes in a wide variety of forms. Historically, two major approaches were recognized: data federation and data warehousing. Today, we need new approaches, as information integration becomes more dynamic, while coping with growing volumes of increasingly dirty and diverse data. At the same time, information integration must be coupled more tightly with the applications and the analytics that will leverage the integrated results, to make the integration process more tractable and the results more consumable.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Haas, L.: Beauty and the Beast: The Theory and Practice of Information Integration. In: Schwentick, T., Suciu, D. (eds.) ICDT 2007. LNCS, vol. 4353, pp. 28–43. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  2. Bernstein, P.A., Haas, L.M.: Information integration in the enterprise. Commun. ACM 51(9), 72–79 (2008)

    Article  Google Scholar 

  3. Halevy, A.Y., Franklin, M.J., Maier, D.: Principles of dataspace systems. In: PODS, pp. 1–9 (2006)

    Google Scholar 

  4. Miller, R.J., Haas, L.M., Hernández, M.A.: Schema Mapping as Query Discovery. In: VLDB, pp. 77–88 (2000)

    Google Scholar 

  5. McCann, R., Shen, W., Doan, A.: Matching Schemas in Online Communities: A Web 2.0 Approach. In: IEEE ICDE, pp. 110–119 (2008)

    Google Scholar 

  6. Apache Hadoop, http://hadoop.apache.org/

  7. Olston, C., Reed, B., Srivastava, U., Kumar, R., Tomkins, A.: Pig latin: a not-so-foreign language for data processing. In: ACM SIGMOD, pp. 1099–1110 (2008)

    Google Scholar 

  8. Jaql, http://code.google.com/p/jaql/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Haas, L.M., Soffer, A. (2009). New Challenges in Information Integration. In: Pedersen, T.B., Mohania, M.K., Tjoa, A.M. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2009. Lecture Notes in Computer Science, vol 5691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03730-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03730-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03729-0

  • Online ISBN: 978-3-642-03730-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics