Metric details for natural-language spatial relations
ACM Transactions on Information Systems (TOIS)
Geospatial mapping and navigation of the web
Proceedings of the 10th international conference on World Wide Web
Toward the semantic geospatial web
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Computing Geographical Scopes of Web Resources
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
The Role of Gazetteers in Geographic Knowledge Discovery on the Web
LA-WEB '05 Proceedings of the Third Latin American Web Congress
Characteristics of geographic information needs
Proceedings of the 4th ACM workshop on Geographical information retrieval
A differential notion of place for local search
Proceedings of the first international workshop on Location and the web
Analysis of geographic queries in a search engine log
Proceedings of the first international workshop on Location and the web
Annotating and visualizing location data in geospatial web applications
Proceedings of the first international workshop on Location and the web
International Journal of Geographical Information Science
A large-scale study on map search logs
ACM Transactions on the Web (TWEB)
Hyper-local, directions-based ranking of places
Proceedings of the VLDB Endowment
Traffic observatory: a system to detect and locate traffic events and conditions using Twitter
Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Spatial interpretations of preposition "at"
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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In this paper, we explore the use of natural language expressions to perform geographic searches on the Web, without resorting to geocoded data. Such expressions denote the positioning of a subject with respect to a landmark --- a valuable source of geographical context embedded in the unstructured text of Web documents. Our approach leads to novel query expansion techniques that can be explored by virtually any keyword--based search engine.