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...
Recommended Reading
Abiteboul S, Duschka OM. Complexity of answering queries using materialized views. In: Proceedings 17th ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems. 1998. p. 254–63.
Carey MJ, Haas LM, Schwarz PM, Arya M, Cody WF, Fagin R, Flickner M, Luniewski A, Niblack W, Petkovic D, Thomas II J, Williams JH, Wimmers EL. Towards heterogeneous multimedia information systems: the garlic approach. In: Proceedings 5th international workshop on research issues on data engineering. 1995. p. 124–31.
Fagin R, Kolaitis PG, Miller RJ, Popa L. Data exchange: semantics and query answering. In: Proceedings international conference on database theory. 2002. p. 207–24.
Friedman M, Levy A, Millstein T. Navigational plans for data integration. In: Proceedings 16th national conference on AI and 11th innovative applications of AI conference. 1999.
Garcia-Molina HK, Papakonstantinou YK, Quass DK, Rajaraman AK, Sagiv YK, Ullman JK, Vassalos VK, Widom JK. The TSIMMIS approach to mediation: data models and languages. J Intell Inf Syst. 1997;8(2):117–32.
Genesereth MR, Keller AM, Duschka OM. Infomaster: an information integration system. In Proceedings ACM SIGMOD international conference on management of data. 1997.
Halevy A. Logic-based techniques in data integration. In: Logic based artificial. intelligence. 2000.
Halevy AY. Answering queries using views: a survey. VLDB J. 2001;10(4):270–94.
Katsis Y, Deutsch A, Papakonstantinou Y. Interactive source registration in community-oriented information integration. In: Proceedings 34th international conference on very large data bases. 2008.
Kirk T, Levy AY, Sagiv Y, Srivastava D. The information manifold. In: Information gathering from heterogeneous, distributed environments. 1995.
Landers T, Rosenberg RL. An overview of MULTIBASE. Distributed systems, vol. II: distributed data base systems table of contents. 1986. p. 391–421.
Lenzerini M. Data integration: a theoretical perspective. In: Proceedings 21st ACM SIGACT-SIGMOD-SIGART symposium. on principles of database systems. 2002.
Manolescu I, Florescu D, Kossmann D. Answering XML queries over heterogeneous data sources. In. Proceedings 27th international conference on very large data bases. 2001.
Widom J. Research problems in data warehousing. In: Proceedings 27th international conference on very large data bases. 1995.
Yu C, Popa L. Constraint-based XML query rewriting for data integration. In: Proceedings 27th international conference on very large data bases. 2004.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2016 Springer Science+Business Media LLC
About this entry
Cite this entry
Katsis, Y., Papakonstantinou, Y. (2016). View-based Data Integration. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_1072-2
Download citation
DOI: https://doi.org/10.1007/978-1-4899-7993-3_1072-2
Received:
Accepted:
Published:
Publisher Name: Springer, New York, NY
Online ISBN: 978-1-4899-7993-3
eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering