processing spatial query

processing spatial query

Query Processing in Spatial Network Databases

processing techniques by integrating connectivity and location information for efficient pruning of the search space. To the best of our knowledge, this is the first work dealing with the efficient processing of spatial queries in SNDB. The rest of the paper is organized as follows: Section 2

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Subsequently, Spatial-Query-by-Sketch develops a query processing plan and executes the query against the spatial database. If several scenes match the query, the results are prioritized such that scenes with the best match to the query are presented first.The following scenario provides a cursory outline of the envisioned interaction a user ...

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Optimiza.tion Shtegics for Spatial Query Processing*

spatial query processing and optimization. The query optimizer is an important component of a rnoclern DBMS. Usua.lly, the user’s query, expressed in a non-procedural language, describes only the con- tlit,inris t.hat the final response must, sat,isfy. It is thr opi,iiliixcr’s respoilsihilit,y t.0 generate a query evidua- ...

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Processing spatial keyword query as a top-k aggregation ...

Processing spatial keyword query as a top-k aggregation query. Pages 355–364. Previous Chapter Next Chapter. ABSTRACT. We examine the spatial keyword search problem to retrieve objects of interest that are ranked based on both their spatial proximity to the query location as well as the textual relevance of the object's keywords. Existing ...

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About this site

In spatial query processing, spatial objects are compared with each other using spatial relationships. A spatial range-query is an operation that returns objects from a set of spatial objects which satisfy a spatial predicate with a given range. A...

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Spatial Query Processing in an Object-Oriented Database

2. Spatial Query Processing in PROBE We will support spat query processing by provid- mg an oblect class that implements approximate geometry (AG). The query processor will invoke opera- tors of this object class to obtain fast but approximate answers to spatial queries. If more precise answers are

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Efficient Spatial Query Processing for Big Data

3. SPATIAL QUERY PROCESSING A spatial object basically includes its geometry and can have any additional information about the object, such as its name, address and phone number. In terms of the ge-ometry, our spatial index supports most of generally used geometries including points, lines, rectangles, curves and polygons.

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(PDF) Query Processing in Spatial-Query-by-Sketch Max ...

Subsequently, Spatial-Query-by-Sketch develops a query processing plan and executes the query against the spatial database. If several scenes match the query, the results are prioritized such that scenes with the best match to the query are presented first.The following scenario provides a cursory outline of the envisioned interaction a user ...

Read More
Optimiza.tion Shtegics for Spatial Query Processing*

spatial query processing and optimization. The query optimizer is an important component of a rnoclern DBMS. Usua.lly, the user’s query, expressed in a non-procedural language, describes only the con- tlit,inris t.hat the final response must, sat,isfy. It is thr opi,iiliixcr’s respoilsihilit,y t.0 generate a query

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Distributed processing of location based spatial query ...

Dec 01, 2018  The spatial query processing for moving objects is sectioned into two types, called snapshot queries and continuous queries. The snapshot queries are the one in which the query return results based on the current location and the time.

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What is spatial query processing? - Quora

In spatial query processing, spatial objects are compared with each other using spatial relationships. A spatial range-query is an operation that returns objects from a set of spatial objects which satisfy a spatial predicate with a given range. A...

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Processing spatial keyword query as a top-k aggregation ...

Processing spatial keyword query as a top-k aggregation query. Pages 355–364. Previous Chapter Next Chapter. ABSTRACT. We examine the spatial keyword search problem to retrieve objects of interest that are ranked based on both their spatial proximity to the query location as well as the textual relevance of the object's keywords. Existing ...

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Performing Spatial Queries (QGIS3) — QGIS Tutorials and Tips

Jul 24, 2021  Spatial queries are core to many types of GIS analysis. Spatial queries allows you to select features in a layer by their spatial relationships (intersect, contain, touch etc.) with features from another layer. In QGIS, this functionality is available via the Select by Location and Extract by Location Processing tools.

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Smooth query processing in spatial database - AMiner

Abstract. Spatial database is a database that is optimized to store and query data. In order to process spatial database a set of functions are needed to process spatial data types called geometry or feature. These set of function are designed by spatial database query framework called Open Geospatial Consortium (OGC).

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Processing Spatial-Keyword (SK) Queries in Geographic ...

as coordinate conversion of spatial attributes, identification and extraction of textual attributes, etc. In our experiments, we use structured data sources and explain the details of the pre-processing steps in Section 6. Indexer: The primary search dimensions for processing SK queries are spatial and text attributes. Hence, the indexer in

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A GPU-Based Framework for Parallel Spatial Indexing and ...

support for e cient spatial data storage and query processing has become a vital component in such systems. Popular spatial queries are spatial point search, range search, within-distance search, and k-nearest neighbors (kNNs) [1, 2]. Parallelization is a common approach in achieving high performance while dealing with spatial databases.

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SparkGIS: Resource Aware Efficient In-Memory Spatial Query ...

It supports basic spatial queries including containment, spatial join and k-nearest neighbor and allows extending these to complex query pipelines. SparkGIS mitigates skew in distributed processing by supporting several dynamic partitioning algorithms suitable for

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Article Metrics A scalable energy-efficient continuous ...

When the mobile environment consists of light-weight devices, the energy consumption of location-based services (LBSs) and the limited bandwidth of the wireless network become important issues. Motivated by this, we propose new spatial query processing algorithms to support Mobile Continuous Nearest Neighbor Query (MCNNQ) in wireless broadcast environments. Our solution provides a general ...

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Implementasi Natural Language Processing (NLP) Untuk ...

This study developed NLP System for Location Search application known as NaLaMap. This study utilized location database from Open Street Map (OSM) and a web application client for case studies. In order to transform the input sentence into a spatial query, NLP system is built through five main stages, namely Tokenization, POS Tagging, Tagging ...

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Spatial Query Processing in an Object-Oriented Database

2. Spatial Query Processing in PROBE We will support spat query processing by provid- mg an oblect class that implements approximate geometry (AG). The query processor will invoke opera- tors of this object class to obtain fast but approximate answers to spatial queries. If more precise answers are

Read More
Query Processing in Spatial Network Databases

processing techniques by integrating connectivity and location information for efficient pruning of the search space. To the best of our knowledge, this is the first work dealing with the efficient processing of spatial queries in SNDB. The rest of the paper is organized as follows: Section 2 overviews related work. Section 3 describes our

Read More
Efficient Spatial Query Processing for Big Data

3. SPATIAL QUERY PROCESSING A spatial object basically includes its geometry and can have any additional information about the object, such as its name, address and phone number. In terms of the ge-ometry, our spatial index supports most of generally used geometries including points, lines, rectangles, curves and polygons.

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Spatial Keyword Query Processing: An Experimental

cient processing of spatial keyword queries that take a geo-location and a set of keywords as arguments and return relevant content that matches the arguments [2]. Spatial keyword queries are being supported in real-life appli-cations, such as Google Maps where points of interest can be re-

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Processing spatial keyword query as a top-k aggregation ...

Processing spatial keyword query as a top-k aggregation query. Pages 355–364. Previous Chapter Next Chapter. ABSTRACT. We examine the spatial keyword search problem to retrieve objects of interest that are ranked based on both their spatial proximity to the query location as well as the textual relevance of the object's keywords. Existing ...

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Spatial Queries in Sensor Networks

processing spatial queries in sensor network settings: 1. Distributed query execution. Queries must run in a distributed manner, because sensor data are distributed in the network, and there is no global view of the data. 2. Distributed and dynamic index maintenance. The high

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Efficiently Processing Spatial and Keyword Queries in ...

the state-of-the-art indoor spatial query processing technique [19] computes the shortest distance between a source point s and a target point t (shown as stars in Fig. 1) using Dijkstra’s like expansion on a D2D graph or AB-graph. Although several optimizations are

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Poet: an Interactive Spatial Query Processing System in Grab

the process of spatial query processing, they still rely on a process-after-query approach for executing the queries. Even though the user is continuously interacting with the GUI, the actual processing is only initiated after the user completes their interactions, thus wasting the opportunities to reduce the response time of query processing.

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Spatial Queries with k-Nearest-Neighbor and Relational ...

queries, (2) processing queries that involve spatial and non-spatial operators, and (3) estimating the cost and the selectivity of spatial operators. In the first class, several research efforts have targeted the effi-cient processing of queries with single spatial or spatio-temporal operators, e.g., k-nearest-neighbor, reverse nearest ...

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TECHNICAL REPORT 19-002, JUNE 2019 1 G-PICS: A

to GPU memory is added to query processing. Thus, an essential step towards developing high performance spatial query processing in large datasets, is to reduce such overhead. d) Multi-Query Optimization: In existing approaches, by processing one query at a time, optimization opportunities among different queries in a workload are wasted. For exam-

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A Privacy-Preserving Spatial Index for Spatial Query ...

Figure 5 shows an example of processing the cloaking-based spatial query using PSI. The CSQ process is as follows: Figure 5 . Example of processing the CQS using PSI. Step 1. The q requests query results from the server via SQ. The structural elements of SQ in CSQ are as follows: First, the PR is set in a rectangular shape (this shape can vary ...

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Spatial Query Processing Utilizing Voronoi Diagrams - YouTube

Google TechTalksAugust 10, 2006Mehdi Sharifzadeh is a PhD student doing research at USC this summer for Google. He will be giving a talk on his research as w...

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(PDF) Pre-Processing Queries with Spatial Constraints

A particular aspect of processing spatial queries that has not been addressed in the past is the assessment of the consistency of a spatial query with respect to the semantics of spatial constraints.

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Smooth query processing in spatial database - AMiner

Abstract. Spatial database is a database that is optimized to store and query data. In order to process spatial database a set of functions are needed to process spatial data types called geometry or feature. These set of function are designed by spatial database query framework called Open Geospatial Consortium (OGC).

Read More