Relational learning of pattern-match rules for information extraction
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Computing Geographical Scopes of Web Resources
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
A Model-Based, Open Architecture for Mobile, Spatially Aware Applications
SSTD '01 Proceedings of the 7th International Symposium on Advances in Spatial and Temporal Databases
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Proceedings of the first international workshop on Location and the web
Retrieving address-based locations from the web
Proceedings of the 2nd international workshop on Geographic information retrieval
Adaptive geospatially focused crawling
Proceedings of the 18th ACM conference on Information and knowledge management
Federating location-based data services
Data Management in a Connected World
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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.