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Data Integration: Introducing Semantics

Data Integration: Introducing Semantics

Ismael Navas-Delgado, Jose F. Aldana-Montes
Copyright: © 2009 |Pages: 11
ISBN13: 9781605662428|ISBN10: 1605662429|EISBN13: 9781605662435
DOI: 10.4018/978-1-60566-242-8.ch050
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MLA

Navas-Delgado, Ismael, and Jose F. Aldana-Montes. "Data Integration: Introducing Semantics." Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, edited by Viviana E. Ferraggine, et al., IGI Global, 2009, pp. 460-470. https://doi.org/10.4018/978-1-60566-242-8.ch050

APA

Navas-Delgado, I. & Aldana-Montes, J. F. (2009). Data Integration: Introducing Semantics. In V. Ferraggine, J. Doorn, & L. Rivero (Eds.), Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends (pp. 460-470). IGI Global. https://doi.org/10.4018/978-1-60566-242-8.ch050

Chicago

Navas-Delgado, Ismael, and Jose F. Aldana-Montes. "Data Integration: Introducing Semantics." In Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends, edited by Viviana E. Ferraggine, Jorge Horacio Doorn, and Laura C. Rivero, 460-470. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-242-8.ch050

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Abstract

The growth of the Internet has simplified data access, which has involved an increment in the creation of new data sources. Despite this increment, in most cases, these large data repositories are accessed manually. This problem is aggravated by the heterogeneous nature and extreme volatility of the information on the Web. This heterogeneity includes three types: intentional (differences in the contents), semantic (differences in the interpretation), and schematic (data types, labeling, structures, etc.). Thus, the increase of the available information and the complexity of dealing with this amount of information have involved a considerable amount of research into the subject of heterogeneous data integration. The database community, one of the most important groups dealing with data heterogeneity and dispersion, has provided a wide range of solutions to this problem. However, this issue has also been addressed and solutions have been offered by the information retrieval and knowledge representation communities, making this area a connection point between the three communities.

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