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Processing spatial keyword query as a top-k aggregation query
Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, 2014We 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 solutions for the problem are based on either using a combination of textual and spatial indexes or using specialized hybrid indexes
Dongxiang Zhang +2 more
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Efficient Processing of Spatial Group Keyword Queries
ACM Transactions on Database Systems, 2015With the proliferation of geo-positioning and geo-tagging techniques, spatio-textual objects that possess both a geographical location and a textual description are gaining in prevalence, and spatial keyword queries that exploit both location and textual description are gaining in prominence.
Xin Cao 0001 +4 more
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Query Processing in Spatial Databases
2005Spatial data management has been an active area of intensive research for more than two decades. In order to support spatial objects in a database system, several important issues must be taken into account such as spatial data models, indexing mechanisms, and efficient query processing. A spatial database system (SDBS) is a database system that offers
Antonio Corral, Michael Vassilakopoulos
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Privacy Protected Query Processing on Spatial Networks
2007 IEEE 23rd International Conference on Data Engineering Workshop, 2007With the proliferation of mobile devices (e.g., PDAs, cell phones, etc.), location-based services have become more and more popular in recent years. However, users have to reveal their location information to access location-based services with existing service infrastructures.
Wei-Shinn Ku +3 more
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A Framework for Spatial Predictive Query Processing and Visualization
2015 16th IEEE International Conference on Mobile Data Management, 2015This demo presents the Panda system for efficient support of a wide variety of predictive spatio-temporal queries. These queries are widely used in several applications including traffic management, location-based advertising, and store finders. Panda targets long-term query prediction as it relies on adapting a long-term prediction function to: (a ...
Abdeltawab M. Hendawi +2 more
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Query processing in spatial database systems
2006The management of spatial data in applications such as graphics and image processing, geography as well as computer aided design (CAD) imposes stringent new requirements on spatial database systems, in particular on efficient query processing of complex spatial objects.
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Spatial Keyword Query Processing in the Internet of Vehicles
2017This paper takes the first step to address the issue of processing Spatial Keyword Queries (SKQ) in the Internet of Vehicles (IoV) environment. As a key technique to obtain location-aware information, the Spatial Keyword Query (SKQ) is proposed. It can search qualified objects based on both keywords and location information.
Yanhong Li +4 more
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Instance optimal query processing in spatial networks
The VLDB Journal, 2008The performance optimization of query processing in spatial networks focuses on minimizing network data accesses and the cost of network distance calculations. This paper proposes algorithms for network k-NN queries, range queries, closest-pair queries and multi-source skyline queries based on a novel processing framework, namely, incremental lower ...
Ke Deng +4 more
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Efficient Processing of Spatial Group Preference Queries
2019POIs (points of interest) as well as users’ check-in information and their ratings on POIs have been widely studies in systems providing location-based services. We note that users usually have their own preferences for POI categories and their own network of friends.
Zhou Zhang 0006 +4 more
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GISQF: An Efficient Spatial Query Processing System
2014 IEEE 7th International Conference on Cloud Computing, 2014Collecting observations from all international news coverage and using TABARI software to code events, the Global Database of Event, Language, and Tone (GDELT) is the only global political georeferenced event dataset with 250+ million observations covering all countries in the world from January 1, 1979 to the present with daily updates. The purpose of
Khaled Mohammed Al-Naami +2 more
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