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Efficient Processing of Spatial Group Keyword Queries

ACM Transactions on Database Systems, 2015
With 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, Gao Cong, Christian Jensen
exaly   +3 more sources

Semantic-aware top-k spatial keyword queries

open access: yesWorld Wide Web, 2017
The fast development of GPS equipped devices has aroused widespread use of spatial keyword querying in location based services nowadays. Existing spatial keyword query methodologies mainly focus on the spatial and textual similarities, while leaving the ...
Xiaofang Zhou, Pengpeng Zhao, Jiajie Xu
exaly   +2 more sources

Spatial keyword query processing

Proceedings of the VLDB Endowment, 2013
Geo-textual indices play an important role in spatial keyword querying. The existing geo-textual indices have not been compared systematically under the same experimental framework. This makes it difficult to determine which indexing technique best supports specific functionality.
Lisi Chen 0001   +3 more
openaire   +3 more sources

Scalable collective spatial keyword query

2015 31st IEEE International Conference on Data Engineering Workshops, 2015
Spatial keyword queries have been widely studied recently, along with the emergence of large amount of geo-textual data. We consider the problem of scalable collective spatial keyword queries in this paper. Such query has a wide spectrum of applications; for instance, to find the best (nearest) area to organize a friend get-together where bars ...
Peijun He   +3 more
openaire   +1 more source

Interactive Spatial Keyword Querying with Semantics

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Conventional spatial keyword queries confront the difficulty of returning desired objects that are synonyms but morphologically different to query keywords. To overcome this flaw, this paper investigates the interactive spatial keyword querying with semantics.
Jiabao Sun   +3 more
openaire   +2 more sources

Collective Keyword Query on a Spatial Knowledge Base

IEEE Transactions on Knowledge and Data Engineering, 2019
The conventional works on spatial keyword queries for a knowledge base focus on finding a subtree to cover all the query keywords. The retrieved subtree is rooted at a place vertex, spatially close to a query location and compact in terms of the query keywords.
Xiongnan Jin, Eunju Jo, Kyong-Ho Lee
exaly   +2 more sources

Spatial Keyword Querying

2012
The web is increasingly being used by mobile users. In addition, it is increasingly becoming possible to accurately geo-position mobile users and web content. This development gives prominence to spatial web data management. Specifically, a spatial keyword query takes a user location and user-supplied keywords as arguments and returns web objects that ...
Xin Cao 0001   +7 more
openaire   +2 more sources

Density-based spatial keyword querying

Future Generation Computer Systems, 2014
With the rocket development of the Internet, WWW(World Wide Web), mobile computing and GPS (Global Positioning System) services, location-based services like Web GIS (Geographical Information System) portals are becoming more and more popular. Spatial keyword queries over GIS spatial data receive much more attention from both academic and industry ...
Li Zhang, Xiaoping Sun, Hai Zhuge
openaire   +2 more sources

Interactive Top-k Spatial Keyword queries

2015 IEEE 31st International Conference on Data Engineering, 2015
Conventional top-k spatial keyword queries require users to explicitly specify their preferences between spatial proximity and keyword relevance. In this work we investigate how to eliminate this requirement by enhancing the conventional queries with interaction, resulting in Interactive Top-k Spatial Keyword (ITkSK) query.
Kai Zheng 0001   +6 more
openaire   +4 more sources

Level-aware collective spatial keyword queries

Information Sciences, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huaizhong Lin, Pengfei Zhang, Bin Yao
exaly   +4 more sources

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