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Spatiotemporal Keyword Query Suggestion Based On Document Proximity and K-Means Method– A Review
2017
IJARCCE
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The K-Means method used for retrieving the highest ranked top k objects near to the current location of the user and Time aware query suggestion brings out the most relevant documents based on the temporal ...
The Spatiotemporal suggestion of queries deals with spatial proximity.On the basis of a weighted keyword document graph that maps the relevance of keyword queries semantically with the distance between ...
the relevance of the keyword query semantically with user location and spatial distance with the resulting documents. ...
doi:10.17148/ijarcce.2017.63157
fatcat:v7a3huyozzfh7hizniut5wuhiy
Top-k Relevant Semantic Place Retrieval on Spatial RDF Data
2016
Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16
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The objective of top-k relevant semantic places (kSP) retrieval is to find RDF subgraphs which contain the query keywords and are rooted at spatial entities close to the query location. ...
At the same time, popular RDF knowledge bases also include spatial semantics, which opens the road to location-based search operations. ...
Top-k Relevant Semantic Place Retrieval. ...
doi:10.1145/2882903.2882941
dblp:conf/sigmod/ShiWM16
fatcat:v2pbun5x45gkndtk6el5kxje4y
QDR-Tree: An Efficient Index Scheme for Complex Spatial Keyword Query
[chapter]
2018
Lecture Notes in Computer Science
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With the popularity of mobile devices and the development of geo-positioning technology, location-based services (LBS) attract much attention and top-k spatial keyword queries become increasingly complex ...
In this paper we demonstrate, for the first time, the Attributes-Aware Spatial Keyword Query (ASKQ), and devise a two-layer hybrid index structure called Quad-cluster Dual-filtering R-Tree (QDR-Tree). ...
All the keyword clusters (C i ) make up the set of keyword clusters (C). Definition 3 (Attributes-Aware Spatial Keyword Query). ...
doi:10.1007/978-3-319-98809-2_24
fatcat:alrf36jjl5ejtns3fdsvhndgaq
Analysis on Location Based Nearest Keyword Search
2017
International Journal for Research in Applied Science and Engineering Technology
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It is common that the objects in a spatial database (e.g., restaurants) are associated with keywords to indicate their businesses/services. ...
An exciting problem known as Closest Keywords search is to query objects, called nearest keyword search , which together cover a set of query keywords and have the minimum inter-objects distance. ...
They present an efficient way to response top-k spatial keyword queries. ...
doi:10.22214/ijraset.2017.2041
fatcat:jziwk3zderbddjn66eha2zoqfu
Social-Aware Top-k Spatial Keyword Search
2014
2014 IEEE 15th International Conference on Mobile Data Management
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In this paper, we propose a novel spatial keyword query, Social-aware top-k Spatial Keyword (SkSK) query, which enriches the semantics of the conventional spatial keyword query by introducing a new social ...
The boom of the spatial web has enabled spatial keyword queries that take a user location and multiple search keywords as arguments and return the objects that are spatially and textually relevant to these ...
CONCLUSIONS This paper studies the social-aware top-k spatial keyword (SkSK) query that enriches the semantics of the spatial keyword query by introducing a new social relevance attribute. ...
doi:10.1109/mdm.2014.35
dblp:conf/mdm/WuLCX14
fatcat:xp5il7jj7vdxddsjpp3lkaik5m
Location Aware Keyword Query Suggestion Based on Document Proximity
2016
IEEE Transactions on Knowledge and Data Engineering
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In this paper, we design a location-aware keyword query suggestion framework. ...
We propose a weighted keyword-document graph, which captures both the semantic relevance between keyword queries and the spatial distance between the resulting documents and the user location. ...
In the end, the top-1 suggestion is keyword query k 3 = "lobster ". Partitioning Methods. ...
doi:10.1109/tkde.2015.2465391
fatcat:oopb46wjjzhobedja5a57aunly
Location aware keyword query suggestion based on document proximity
2016
2016 IEEE 32nd International Conference on Data Engineering (ICDE)
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In this paper, we design a location-aware keyword query suggestion framework. ...
We propose a weighted keyword-document graph, which captures both the semantic relevance between keyword queries and the spatial distance between the resulting documents and the user location. ...
In the end, the top-1 suggestion is keyword query k 3 = "lobster ". Partitioning Methods. ...
doi:10.1109/icde.2016.7498428
dblp:conf/icde/QiWM16
fatcat:tace2a34obbetocted7tjn5wvm
Survey on Nearest Keyword Set Search in Multi-dimensional Datasets
2017
International Journal of Advanced Research in Computer Science and Software Engineering
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Keyword query in multi-dimensional datasets is a noteworthy application in information mining. ...
It is normal that the articles in a spatial database (e.g. eateries/inns) are connected with keyword(s) to demonstrate their organizations/administrations/highlights. ...
Lamentably there is no proficient support for top-k spatial keyword queries, where a prefix of the outcomes rundown is required. ...
doi:10.23956/ijarcsse.v7i8.23
fatcat:v7ftwdrhjjalbarnbbq6bwg5be
Preface to the special issue on big data search and mining
2017
World wide web (Bussum)
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The first article, by Xia et al. on "Top-k Temporal Keyword Search Over Social Media Data" investigates a problem of top-k most significant temporal keyword query to enable more complex query analysis ...
The guest editors selected 5 contributions covers varying topics within this theme, ranging from social media search to semantic analysis, from data stream analysis to spatial query processing. ...
routes in traffic-aware spatial networks (TANN queries) to avoid potential time delay or traffic congestions. ...
doi:10.1007/s11280-017-0452-2
fatcat:mr5t2fivtvg7llgjhbor7cgnd4
Introduction to spatio-temporal data driven urban computing
2020
Distributed and parallel databases
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group query in their paper "Social-aware spatial keyword top-k group query." ...
Jiajie Xu et al. propose a hybrid indexing structure that integrate the spatial and semantic information of spatio-temporal datain their paper "Multi-objective spatial keyword query with semantics: a distance-owner ...
doi:10.1007/s10619-020-07300-3
fatcat:e7js4tbxuneg7nzqakksvdtlum
Finding top-k local users in geo-tagged social media data
2015
2015 IEEE 31st International Conference on Data Engineering
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Given a location q, a distance r, and a set of keywords W , the TkLUS query finds the top-k users who have posted tweets relevant to the desired keywords in W at a place within the distance r from q. ...
In this work, we formulate a novel and useful problem called top-k local user search (TkLUS for short) from tweets with geo-tags. ...
Problem Definition: (Top-k Local User Search) Given geo-tagged social media data D = (P, U, G), a location l, a distance r, and a keyword set W , a top-k local user search q(l, r, W ) finds a k-user set ...
doi:10.1109/icde.2015.7113290
dblp:conf/icde/JiangL0C15
fatcat:ewroeyabpjcfvkpy5onqjkztti
Inverted Linear Quadtree: Efficient Top K Spatial Keyword Search
2016
IEEE Transactions on Knowledge and Data Engineering
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In addition, we show that the IL-Quadtree technique can also be applied to improve the performance of other spatial keyword queries such as the direction-aware top k spatial keyword search and the spatiotextual ...
In the paper, we study the problem of top k spatial keyword search (TOPK-SK), which is fundamental in the spatial keyword queries. ...
In the paper, we focus on the direction-aware top k spatial keyword search and the spatial keyword ranking queries.
A. ...
doi:10.1109/tkde.2016.2530060
fatcat:tb54t567izfcjdfplk6ssao7ce
Inverted linear quadtree: Efficient top k spatial keyword search
2013
2013 IEEE 29th International Conference on Data Engineering (ICDE)
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In addition, we show that the IL-Quadtree technique can also be applied to improve the performance of other spatial keyword queries such as the direction-aware top k spatial keyword search and the spatiotextual ...
In the paper, we study the problem of top k spatial keyword search (TOPK-SK), which is fundamental in the spatial keyword queries. ...
In the paper, we focus on the direction-aware top k spatial keyword search and the spatial keyword ranking queries.
A. ...
doi:10.1109/icde.2013.6544884
dblp:conf/icde/ZhangZZL13
fatcat:qnvo6nbrmzds7j3enarpqdrlo4
Best Keyword Search on Spatial Database with Privacy of User
2017
IJARCCE
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LOCATION BASED SERVICES RETRIEVAL A location-based instant search combines spatial search with keyword search using the AND semantics. ...
That is, we want to retrieve records that satisfy both spatial and keyword conditions. ...
Answering Why-Not Spatial Keyword Top-k Queries via Keyword Adaption [2] A spatial keyword top-k query takes a user location and a set of keywords as arguments and retrieves the k objects that are ranked ...
doi:10.17148/ijarcce.2017.6445
fatcat:f5cfrysv4zhnpngxlnqno54mzu
ICDE conference 2015 detailed author index
2015
2015 IEEE 31st International Conference on Data Engineering
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Keyword Top-k Queries ...
Keyword Top-k Queries
Lin, Xuemin
30
Cleaning Structured Event Logs: A Graph Repair Approach
387
Diversified Top-K Clique Search
1107
AP-Tree: Efficiently Support Continuous Spatial-Keyword ...
doi:10.1109/icde.2015.7113260
fatcat:ep7pomkm55f45j33tkpoc5asim
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