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Spatial Data Integration Over the Web

Spatial Data Integration Over the Web

Laura Díaz, Carlos Granell, Michael Gould
Copyright: © 2009 |Pages: 9
ISBN13: 9781605662428|ISBN10: 1605662429|EISBN13: 9781605662435
DOI: 10.4018/978-1-60566-242-8.ch036
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MLA

Díaz, Laura, et al. "Spatial Data Integration Over the Web." 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. 325-333. https://doi.org/10.4018/978-1-60566-242-8.ch036

APA

Díaz, L., Granell, C., & Gould, M. (2009). Spatial Data Integration Over the Web. In V. Ferraggine, J. Doorn, & L. Rivero (Eds.), Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends (pp. 325-333). IGI Global. https://doi.org/10.4018/978-1-60566-242-8.ch036

Chicago

Díaz, Laura, Carlos Granell, and Michael Gould. "Spatial Data Integration Over the Web." 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, 325-333. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-242-8.ch036

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Abstract

Spatial data are increasingly becoming available on the Internet in applications such as routing portals that involve map-based and satellite imagery backgrounds, allowing a large audience to access and share the rich databases that are currently used by the specialized geographic community. These spatial data are heterogeneous, being available in various formats, and stored in disparate formats (flat files, relational or object-oriented databases, etc.). Some data are structured according to well-established data modeling techniques such as the relational or object-oriented data models; other data, such as data maintained in various information systems, spreadsheets, or Internet repositories, are in proprietary formats, semistructured, or unstructured. In practice, this situation of multiple models and schemas combined with the difficulty for establishment agreements for data representation in the application domains becomes spatial data in special regarding other types of scientific data, making the interoperability problem a nontrivial task (Lemmens, Wytzisk, de By, Granell, Gould & van Oosterom, 2006). In addition to the scale of data integration, the complex and heterogeneous query processing and domain-specific computational capabilities supported by these sources make spatial data integration a real challenge (Boulcema, Essid & Lacroix, 2002; Devogele, Parent & Spaccapietra, 1998; Goodchild, Egenhofer, Fegeas & Kottman, 1999).

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