Definition
Data Integration (or Information Integration) is the problem of finding and combining data from different sources. View-based Data Integration is a framework that solves the data integration problem for structured data by integrating sources into a single unified view. This integration is facilitated by a declarative mapping language that allows the specification of how each source relates to the unified view. Depending on the type of view specification language used, view-based data integration systems (VDISs) are said to follow the Global as View (GAV), Local as View (LAV) or Global and Local as View (GLAV) approach.
Historical Background
Data needed by an application are often provided by a multitude of data sources. The sources often employ heterogeneous data formats (e.g., text files, web pages, XML documents, relational databases), structure the data in different ways and can be accessed through different methods (e.g., web forms, database clients). This makes the task...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Recommended Reading
Abiteboul S. and Duschka O.M. Complexity of answering queries using materialized views. In Proc. 17th ACM SIGACT-SIGMOD-SIGART Symp. on Principles of Database Systems, 1998, pp. 254–263.
Carey M.J., Haas L.M., Schwarz P.M., Arya M., Cody W.F., Fagin R., Flickner M., Luniewski A., Niblack W., Petkovic D., Thomas II J., Williams J.H., and Wimmers E.L. Towards heterogeneous multimedia information systems: The Garlic approach. In Proc. 5th Int. Workshop on Research Issues on Data Eng., 1995, pp. 124–131.
Fagin R., Kolaitis P.G., Miller R.J., and Popa L. Data exchange: Semantics and query answering. In Proc. Int. Conf. on Database Theory, 2002. pp. 207–224.
Friedman M., Levy A., and Millstein T. Navigational plans for data integration. In Proc. 16th National Conf. on AI and 11th Innovative Applications of AI Conf., 1999.
Garcia-Molina H.K., Papakonstantinou Y.K., Quass D.K., Rajaraman A.K., Sagiv Y.K., Ullman J.K., Vassalos V.K., and Widom J.K. The TSIMMIS approach to mediation: data models and languages. J. Intell. Inf. Syst., 8(2):117–132, 1997.
Genesereth M.R., Keller A.M., and Duschka O.M. Infomaster: An information integration system. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 1997.
Halevy A. Logic-based techniques in data integration. In Logic Based Artif. Intell., 2000.
Halevy A.Y. Answering queries using views: A survey. VLDB J., 10(4):270–294, 2001.
Katsis Y., Deutsch A., and Papakonstantinou Y. interactive source registration in community-oriented information integration. In Proc. 34th Int. Conf. on Very Large Data Bases, 2008.
Kirk T., Levy A.Y., Sagiv Y., and Srivastava D. The information manifold. In Information Gathering from Heterogeneous, Distributed Environments, 1995.
Landers T. and Rosenberg R.L. An overview of MULTIBASE. Distributed systems, Vol. II: distributed data base systems table of contents, 1986, pp. 391–421.
Lenzerini M. Data integration: A theoretical perspective. In Proc. 21st ACM SIGACT-SIGMOD-SIGART Symp. on Principles of Database Systems, 2002.
Manolescu I., Florescu D., and Kossmann D. Answering XML queries over heterogeneous data sources. In Proc. 27th Int. Conf. on Very Large Data Bases, 2001.
Widom J. Research problems in data warehousing. In Proc. 27th Int. Conf. on Very Large Data Bases, 1995.
Yu C. and Popa L. Constraint-based XML query rewriting for data integration. In Proc. 27th Int. Conf. on Very Large Data Bases, 2004.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media, LLC
About this entry
Cite this entry
Katsis, Y., Papakonstantinou, Y. (2009). View-based Data Integration. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_1072
Download citation
DOI: https://doi.org/10.1007/978-0-387-39940-9_1072
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-35544-3
Online ISBN: 978-0-387-39940-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering