Efficient Query Processing in Geographic Information Systems

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Efficient Query Processing in Geographic Information Systems

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Delivery in days Free hrrhrhrhhr Delivery Charges: Rs. Additional Handling Charges are levied for other expenses incurred while delivering to your location. More Delivery Options. Query processing is a major bottleneck in standard web search engines, and the main reason for the thousands of machines used by the major engines.

Geographic search engine query processing is different in that it requires a combination of text and spatial data processing techniques. We propose several algorithms for efficient query processing in geographic search engines, integrate them into an existing web search query processor, and evaluate them on large sets of real data and query traces. SlideShare Explore Search You. Submit Search. Successfully reported this slideshow. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

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Online Query Processing in Geographic Information Systems

Aggregation and other operations are efficient 2. Highly compressed — less than bytes on average after simplification 0-badewanne. Geographic Query Processing Ranking according to subject-relevance and intersection between footprints Ranking according to subject-relevance Boolean operations on inverted index and Footprints Boolean operations on inverted index. User enters key words and interested geographic positions User enters key words Geographic SearchText Search Standard vs. Geographic SEs Build additional spatial data structures Build inverted index Additional data mining for geo extraction Link analysis, spam and duplicate detection, etc Maybe restricted to particular area Standard crawling Geographic SearchStandard Search Traverse inverted lists Traverse inverted lists plus spatial structures data aquisition data mining index construction query execution Go through inverted list with all keywords.

Retrieve all footprints.