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Reverse Thinking in Spatial Queries [PDF]
In recent years, an increasing number of researches are conducted on spatial queries regarding the influence of query objects. Among these queries, reverse k nearest neighbors (RkNN) query is the one studied the most extensively. Reverse k furthest neighbors (RkFN) queries is the natural complement of RkNN queries.
Wang, Shenlu
openaire +5 more sources
A Privacy‐Preserving Spatial Index for Spatial Query Processing
An increasing amount of active research is being conducted to protect the locations of mobile device users. Users must tune to more data than they would like to in order to hide their location. In particular, if a user requests a query over k NN, the number of objects the user must receive ...
Doohee Song, MoonBae Song, Kwangjin Park
openaire +1 more source
Efficient Web Navigator for Multi-Constrained Spatial Keyword Queries
The mobile technology revolutionizes the world of communications opening up new possibilities for applications such as location based web search. It involves retrieving the user point of interest (POI) from the web documents based on the query relative ...
K.B. Priya Iyer
doaj
A Privacy-Preserving Continuous Location Monitoring System for Location-Based Services
To protect users’ private locations in location-based services, various location anonymization techniques have been proposed. The most commonly used technique is spatial cloaking, which organizes users’ exact locations into cloaked regions (CRs).
Doohee Song +3 more
doaj +1 more source
PP-WBHSTM: privacy-preserving weighted bidirectional heterogeneous spatial task matching
Spatial Crowdsourcing (SC) systems have emerged as an advanced application designed to match “workers” and “requesters” based on their requirements/skills and geographic locations, that named Spatial Task Matching (STM).
Faezeh Nayyeri +2 more
doaj +1 more source
From questions to queries: an AI-powered multi-agent framework for spatial text-to-Sql
The complexity of SQL and the spatial semantics of PostGIS create barriers for non-experts working with spatial data. Although large language models can translate natural language into SQL, spatial Text-to-SQL is more error-prone than general Text-to-SQL
Ali Khosravi Kazazi +3 more
doaj +1 more source
Construct and Query A Fine-Grained Geospatial Knowledge Graph
In this paper, we propose the fine-grained geospatial knowledge graph (FineGeoKG), which can capture the neighboring relations between geospatial objects. We call such neighboring relations strong geospatial relations (SGRs) and define six types of SGRs.
Bo Wei +5 more
doaj +1 more source
Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. [PDF]
Liang Y, Vo H, Aji A, Kong J, Wang F.
europepmc +1 more source
Refined Deformable-DETR for Electric Pylon Detection Based on Optical Satellite Image. [PDF]
Yang J +5 more
europepmc +1 more source

