Robust and efficient fuzzy match for online data cleaning
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Hybrid index structures for location-based web search
Proceedings of the 14th ACM international conference on Information and knowledge management
Robust location search from text queries
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
STEWARD: architecture of a spatio-textual search engine
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Map search via a factor graph model
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Many popular online services provide "local" or "yellow-pages" search, but none of them allow users to customize the search over user-specified data. This paper describes a novel system for providing custom local search over user-provided spatial datasets logically combined with detailed street-level vector data. We present the algorithms and architecture underlying our prototype system, which handles complex queries and elegantly solves the problem of parsing terms from multiple datasets in the presence of ambiguity and misspellings. We show that the system provides custom local search with precision and recall figures that often exceed that of a commercial local search service. Further, we show that our system scales gracefully with the number of individual custom data sets being served simultaneously.