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Spatiotemporal Keyword Query Suggestion Based On Document Proximity and K-Means Method– A Review

Aju Tom Kuriakose, Sobhana N.V
2017 IJARCCE  
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

Jieming Shi, Dingming Wu, Nikos Mamoulis
2016 Proceedings of the 2016 International Conference on Management of Data - SIGMOD '16  
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]

Xinshi Zang, Peiwen Hao, Xiaofeng Gao, Bin Yao, Guihai Chen
2018 Lecture Notes in Computer Science  
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

Miss Rachana V. Kurhekar
2017 International Journal for Research in Applied Science and Engineering Technology  
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

Dingming Wu, Yafei Li, Byron Choi, Jianliang Xu
2014 2014 IEEE 15th International Conference on Mobile Data Management  
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

Shuyao Qi, Dingming Wu, Nikos Mamoulis
2016 IEEE Transactions on Knowledge and Data Engineering  
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

Shuyao Qi, Dingming Wu, Nikos Mamoulis
2016 2016 IEEE 32nd International Conference on Data Engineering (ICDE)  
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

A. Jebamalar, Anbuselvi Anbuselvi
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
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

Kai Zheng, Feifei Li, Kyuseok Shim
2017 World wide web (Bussum)  
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

Shuo Shang, Kai Zheng, Panos Kalnis
2020 Distributed and parallel databases  
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

Jinling Jiang, Hua Lu, Bin Yang, Bin Cui
2015 2015 IEEE 31st International Conference on Data Engineering  
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

Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin
2016 IEEE Transactions on Knowledge and Data Engineering  
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

Chengyuan Zhang, Ying Zhang, Wenjie Zhang, Xuemin Lin
2013 2013 IEEE 29th International Conference on Data Engineering (ICDE)  
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

Ms. Padmapriya R., Ms. M. Gokila Devi
2017 IJARCCE  
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  
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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