Sorites paradox and vague geographies
Fuzzy Sets and Systems - Special issue on Uncertainty in geographic information systems and spatial data
Spatial information retrieval and geographical ontologies an overview of the SPIRIT project
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Geoinformatica
A Geometric Theory of Vague Boundaries Based on Supervaluation
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
SSD '97 Proceedings of the 5th International Symposium on Advances in Spatial Databases
Geographic information retrieval (GIR): searching where and what
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic question answering on the Web: Research Articles
Journal of the American Society for Information Science and Technology
Automatic acquisition of fuzzy footprints
OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
Delineating boundaries for imprecise regions
ESA'05 Proceedings of the 13th annual European conference on Algorithms
GeoCLEF 2006: the CLEF 2006 cross-language geographic information retrieval track overview
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Spatial variation in search engine queries
Proceedings of the 17th international conference on World Wide Web
Determining geographic representations for arbitrary concepts at query time
Proceedings of the first international workshop on Location and the web
Acquisition of a vernacular gazetteer from web sources
Proceedings of the first international workshop on Location and the web
Defining imprecise regions using the web
Proceedings of the 2nd PhD workshop on Information and knowledge management
Fuzzying GIS topological functions for GIR needs
Proceedings of the 2nd international workshop on Geographic information retrieval
Mapping geographic coverage of the web
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Spatial reasoning in a fuzzy region connection calculus
Artificial Intelligence
Adaptive geospatially focused crawling
Proceedings of the 18th ACM conference on Information and knowledge management
Spatiotemporal mapping of Wikipedia concepts
Proceedings of the 10th annual joint conference on Digital libraries
Information Sciences: an International Journal
Finding locations of flickr resources using language models and similarity search
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Vague regions in Geographic Information Retrieval
SIGSPATIAL Special
Geographic information from georeferenced social media data
SIGSPATIAL Special
Web Semantics: Science, Services and Agents on the World Wide Web
Georeferencing Flickr resources based on textual meta-data
Information Sciences: an International Journal
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Geographic information retrieval (GIR) systems allow users to specify a geographic context, in addition to a more traditional query, enabling the system to pinpoint interesting search results whose relevancy is location-dependent. In particular local search services have become a widely used mechanism to find businesses, such as hotels, restaurants, and shops, which satisfy a geographical restriction. Unfortunately, many useful types of geographic restrictions are currently not supported in these systems, including restrictions that specify the neighborhood in which the business should be located. As the boundaries of city neighborhoods are not readily available, automated techniques to construct representations of the spatial extent of neighborhoods are required to support this kind of restrictions. In this paper, we propose such a technique, using fuzzy footprints to cope with the inherent vagueness of most neighborhood boundaries, and we provide experimental results that demonstrate the potential of our technique in a local search setting.