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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
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)
Bernstein, P.A., Haas, L.M.: Information integration in the enterprise. Commun. ACM 51(9), 72–79 (2008)
Halevy, A.Y., Franklin, M.J., Maier, D.: Principles of dataspace systems. In: PODS, pp. 1–9 (2006)
Miller, R.J., Haas, L.M., Hernández, M.A.: Schema Mapping as Query Discovery. In: VLDB, pp. 77–88 (2000)
McCann, R., Shen, W., Doan, A.: Matching Schemas in Online Communities: A Web 2.0 Approach. In: IEEE ICDE, pp. 110–119 (2008)
Apache Hadoop, http://hadoop.apache.org/
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights 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)