Abstract
The WWW provides an overwhelming amount of information, which – spatially indexed – can be a valuable additional data source for location-based applications. By manually building a spatial index, only a fraction of the available resources can be covered. This paper introduces a system for the automatic mapping of web pages to geographical locations. Our web robot uses several sets of domain specific keywords, lexical context rules, that are automatically learned, and a hierarchical catalogue of geographical locations that provides exact geographical coordinates for locations. Spatially indexed web pages are used to construct Geographical Web Portals, which can be accessed by different location-based applications. In addition, we present experimental results demonstrating the quantity and the quality of automatically indexed web pages.
Keywords
- Address Recognition
- Resource Description Framework
- Postal Code Area
- Postal Address
- Geographical Reference
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2005 Springer-Verlag Berlin Heidelberg
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Jakob, M., Grossmann, M., Nicklas, D., Mitschang, B. (2005). DCbot: Finding Spatial Information on the Web. In: Zhou, L., Ooi, B.C., Meng, X. (eds) Database Systems for Advanced Applications. DASFAA 2005. Lecture Notes in Computer Science, vol 3453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408079_71
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DOI: https://doi.org/10.1007/11408079_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25334-1
Online ISBN: 978-3-540-32005-0
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