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Spatial Data Integration Over the Web

Spatial Data Integration Over the Web
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Author(s): Laura Díaz (Universitat Jaume I, Spain), Carlos Granell (Universitat Jaume I, Spain)and Michael Gould (Universitat Jaume I, Spain)
Copyright: 2009
Pages: 9
Source title: Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends
Source Author(s)/Editor(s): Viviana E. Ferraggine (UNICEN, Argentina), Jorge Horacio Doorn (UNICEN, Argentina)and Laura C. Rivero (UNICEN, Argentina)
DOI: 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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