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Efficient Collective Spatial Keyword Query Processing on Road Networks

Yunjun Gao, Jingwen Zhao, Baihua Zheng, Gang Chen
<span title="">2016</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/in6o6x6to5e2dls4y2ff52dy6u" style="color: black;">IEEE transactions on intelligent transportation systems (Print)</a> </i> &nbsp;
In this paper, we study the problem of collective spatial keyword query processing on road networks, where the objects are located on a predefined road network.  ...  The collective spatial keyword query (CSKQ), an important variant of spatial keyword queries, aims to find a set of the objects that collectively cover users' queried keywords, and those objects are close  ...  Based on Definition 1, we prove that the CSKQ on road networks is NP-complete in Lemma 1 below. Lemma 1: The collective spatial keyword query on road networks is NP-complete.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tits.2015.2477837">doi:10.1109/tits.2015.2477837</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/slkbjx3iwrdfnmku6tyqk2ze5u">fatcat:slkbjx3iwrdfnmku6tyqk2ze5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200322020959/https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=4149&amp;context=sis_research" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/56/7756cb3a9de31b26370e99837f875e35a81a1f80.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tits.2015.2477837"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Query Processing of Geosocial Data in Location-Based Social Networks

Arianna D'Ulizia, Patrizia Grifoni, Fernando Ferri
<span title="2021-12-30">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/fw2uac7a5jggbfgqwh2wqy7yxu" style="color: black;">ISPRS International Journal of Geo-Information</a> </i> &nbsp;
Due to the ongoing interest in this research topic, the results of this survey are valuable to many researchers and practitioners by gaining an in-depth understanding of the geosocial querying process  ...  In this paper, we focus on the issue of query processing by providing a systematic literature review of geosocial data representations, query processing methods, and evaluation approaches published over  ...  in the dataset, and the sources, which are the location-based social network or the road network used to acquire the data.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/ijgi11010019">doi:10.3390/ijgi11010019</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lw3mjaoj2vfytazrfuvuekyewa">fatcat:lw3mjaoj2vfytazrfuvuekyewa</a> </span>
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Multi-approximate-keyword routing in GIS data

Bin Yao, Mingwang Tang, Feifei Li
<span title="">2011</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q6tw7qmnszfgbikw4mpyjrokkm" style="color: black;">Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - GIS &#39;11</a> </i> &nbsp;
For GIS data situated on a road network, shortest path search is a basic operation.  ...  million points on road networks with hundreds of thousands of nodes and edges).  ...  We adopt a disk-based storage model for the representation of a road network, which groups network nodes based on their connectivity and distance, as proposed in [14] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2093973.2094001">doi:10.1145/2093973.2094001</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/gis/0002TL11.html">dblp:conf/gis/0002TL11</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/m2437xjcxfam3mwunffsujqaa4">fatcat:m2437xjcxfam3mwunffsujqaa4</a> </span>
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DISKs

Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan
<span title="2012-08-01">2012</span> <i title="VLDB Endowment"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/p6rqwwpkkjbcldejepcehaalby" style="color: black;">Proceedings of the VLDB Endowment</a> </i> &nbsp;
In this demonstration, we showcase a distributed system called DISKs (DI stributed S patial K eyword search) that is capable of efficiently supporting spatial group keyword search (S-GKS) on road networks  ...  Given a group of keywords X and a distance r, an SGKS returns locations on a road network, such that for each returned location p, there exists a set of nodes (on the road network), which are located within  ...  In this demonstration, we present a new type of spatial keyword search query, called spatial group keyword search (S-GKS), on road networks in a distributed environment.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/2367502.2367549">doi:10.14778/2367502.2367549</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ivubpsnflrcbzg4n3gm3s3zbvm">fatcat:ivubpsnflrcbzg4n3gm3s3zbvm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20160722015036/http://vldb.org/pvldb/vol5/p1966_siqiangluo_vldb2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/02/5b02ba6f003ea89a82d91a3e5aa1ec3c2b2797b8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.14778/2367502.2367549"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Keyword Search on Large Graphs: A Survey

Jianye Yang, Wu Yao, Wenjie Zhang
<span title="2021-03-31">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4pfqfq76vvcxljfl7mvdl37n5q" style="color: black;">Data Science and Engineering</a> </i> &nbsp;
Essentially, given a graph G and query Q associated with a set of keywords, the keyword search aims to find a substructure (e.g., rooted tree or subgraph) S in G such that nodes in S collectively cover  ...  AbstractWith the prevalence of Internet access and online services, various big graphs are generated in many real applications (e.g., online social networks and knowledge graphs).  ...  Particularly, they advocate the popularity-aware collective keyword (PACK) Fig. 4 Five communities [71] query in road networks, which aims to find a group of popular POIs that cover the query's keywords  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41019-021-00154-4">doi:10.1007/s41019-021-00154-4</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qo5ikgtj2zhetbhenljyujxbli">fatcat:qo5ikgtj2zhetbhenljyujxbli</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718105233/https://link.springer.com/content/pdf/10.1007/s41019-021-00154-4.pdf?error=cookies_not_supported&amp;code=8d5415bf-2c0a-4c1a-b12a-316f1afde1b9" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d1/8c/d18cd99b306c780e71797bfc1d96a849c49c1dea.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s41019-021-00154-4"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Topic-based Community Search over Spatial-Social Networks (Technical Report) [article]

Ahmed Al-Baghdadi, Xiang Lian
<span title="2021-11-25">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In social networks, users have multiple check-in locations, influence score, and profile information (keywords).  ...  keywords.  ...  The user u also has a keyword vector u.key, which contains keywords collected from one's social-media profile.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.03014v2">arXiv:2007.03014v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4od5p4bp4banva6x6olh7o342i">fatcat:4od5p4bp4banva6x6olh7o342i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200827201023/https://arxiv.org/pdf/2007.03014v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e9/e9/e9e9489525f9f8bf78313c2afc043d5dcc19f80d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.03014v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Efficient Reverse Top-k Boolean Spatial Keyword Queries on Road Networks

Yunjun Gao, Xu Qin, Baihua Zheng, Gang Chen
<span title="2015-05-01">2015</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ht3yl6qfebhwrg7vrxkz4gxv3q" style="color: black;">IEEE Transactions on Knowledge and Data Engineering</a> </i> &nbsp;
Given a data set P on a road network and a query point q with a set of keywords, an RkBSK query retrieves the points in P that have q as one of answer points for their top-k Boolean spatial keyword queries  ...  In this paper, we introduce a new type of queries, namely, reverse top-k Boolean spatial keyword (RkBSK) retrieval, which assumes objects are on the road network and considers both spatial and textual  ...  All the POIs on the same edge form one group, and the points file is used to collect and store the POI groups.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2014.2365820">doi:10.1109/tkde.2014.2365820</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lkazv6xbcffnjojoqzhfjanzm4">fatcat:lkazv6xbcffnjojoqzhfjanzm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323071025/https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?referer=&amp;httpsredir=1&amp;article=3454&amp;context=sis_research" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c5/57/c557bbc1569526362136295b8324a8063cb067c1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2014.2365820"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Querying Geo-Textual Data

Gao Cong, Christian S. Jensen
<span title="">2016</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2016 International Conference on Management of Data - SIGMOD &#39;16</a> </i> &nbsp;
With a focus on different types of keyword-based queries on geo-textual data, the tutorial also explores topics such as continuous queries on streaming geo-textual data, queries that retrieve attractive  ...  regions of geo-textual objects, and queries that extract properties, e.g., topics and top-k frequent words, of the objects in regions.  ...  A distributed solution [39] is proposed to process Boolean range queries and spatial group keyword queries on road networks.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2882903.2912572">doi:10.1145/2882903.2912572</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/CongJ16.html">dblp:conf/sigmod/CongJ16</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/dyrffsyirvh3jk74mqb6qsos3m">fatcat:dyrffsyirvh3jk74mqb6qsos3m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218140836/https://static.aminer.org/pdf/20170130/pdfs/sigmod/muzyhebuijkxlw4teaqjrgywp0n1h9st.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/fd/04/fd0496ab020acf366375615ab40235e6dd3c5897.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2882903.2912572"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Geo-Social Top-k and Skyline Keyword Queries on Road Networks

Muhammad Attique, Muhammad Afzal, Farman Ali, Irfan Mehmood, Muhammad Fazal Ijaz, Hyung-Ju Cho
<span title="2020-02-01">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This paper proposes geo-social top-k keyword queries and geo-social skyline keyword queries on road networks.  ...  Few previous studies have proposed methods to combine spatial keyword queries with social data in Euclidean space.  ...  In the future, we plan to extend our work to study geo-social top-k collective keyword queries, which will retrieve a group of k data objects based on the set of keywords, query location, and query social  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20030798">doi:10.3390/s20030798</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ocj2dwtgy5hzljihk3lxgvckta">fatcat:ocj2dwtgy5hzljihk3lxgvckta</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200214005018/https://res.mdpi.com/d_attachment/sensors/sensors-20-00798/article_deploy/sensors-20-00798.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/52/09/5209f610e804e7dbaa711b12fce7f4b7f6dbe4c8.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20030798"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Top-k spatial keyword queries on road networks

João B. Rocha-Junior, Kjetil Nørvåg
<span title="">2012</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25kc37fuhndb5axzv75226fwem" style="color: black;">Proceedings of the 15th International Conference on Extending Database Technology - EDBT &#39;12</a> </i> &nbsp;
In this paper, we address, for the first time, the challenging problem of processing top-k spatial keyword queries on road networks where the distance between the query location and the spatial object  ...  With the popularization of GPS-enabled devices there is an increasing interest for location-based queries. In this context, one interesting problem is processing top-k spatial keyword queries.  ...  Top-k spatial keyword queries on road networks can be employed by location-based applications to provide a more precise and realistic result.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2247596.2247617">doi:10.1145/2247596.2247617</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/edbt/Rocha-JuniorN12.html">dblp:conf/edbt/Rocha-JuniorN12</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wtn25s47ljdfpcxlgeinygioge">fatcat:wtn25s47ljdfpcxlgeinygioge</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20120714000646/http://www.idi.ntnu.no/~noervaag/papers/EDBT2012.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c0/2a/c02afd41cab712c09e647dc2b3fb6b2ecbc066da.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/2247596.2247617"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Top-k Collective Spatial Keyword Queries

Danni Su, Xu Zhou, Zhibang Yang, Yifu Zeng, Yunjun Gao
<span title="">2019</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/q7qi7j4ckfac7ehf3mjbso4hne" style="color: black;">IEEE Access</a> </i> &nbsp;
In addition, the existing collective spatial keyword query algorithms are all based on index structure, which requires excessive additional memory overhead.  ...  Each group of object set can cover all the query keywords, and the objects in the set are close to the query position and have the minimum inter-object distance.  ...  [39] presented a group-based collective keyword query problem in road networks whose purpose is to find a group of objects covering all the query keywords and these objects are close to query points  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2958851">doi:10.1109/access.2019.2958851</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/t4njb3mxknbahdbspvfkmirpde">fatcat:t4njb3mxknbahdbspvfkmirpde</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429064852/https://ieeexplore.ieee.org/ielx7/6287639/8600701/08930471.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3e/58/3e585163c9aaec6569da26b456dd49cabc639ab3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/access.2019.2958851"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> ieee.com </button> </a>

A Survey on Trajectory Data Management, Analytics, and Learning [article]

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
<span title="2020-12-14">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Recent advances in sensor and mobile devices have enabled an unprecedented increase in the availability and collection of urban trajectory data, thus increasing the demand for more efficient ways to manage  ...  In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only  ...  Existing trajectory compression techniques can be divided into two groups: simplification-based and road network-based.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.11547v2">arXiv:2003.11547v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5gf5h5skqjbrhf67cflygggnky">fatcat:5gf5h5skqjbrhf67cflygggnky</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200328025552/https://arxiv.org/pdf/2003.11547v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2003.11547v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Query Processing Techniques for Big Spatial-Keyword Data

Ahmed Mahmood, Walid G. Aref
<span title="">2017</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/vxrc3vebzzachiwy3nopwi3h5u" style="color: black;">Proceedings of the 2017 ACM International Conference on Management of Data - SIGMOD &#39;17</a> </i> &nbsp;
Finally, we conclude this tutorial with a discussion on some of the open problems and research directions in the area of big spatial-keyword query processing.  ...  In this 1.5 hour tutorial, we explore recent research efforts in the area of big spatial-keyword processing.  ...  However, other systems answer spatial-keyword queries assuming a graph model, i.e., a road network, e.g., see [30, 50, 51 ].  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3035918.3054773">doi:10.1145/3035918.3054773</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/sigmod/MahmoodA17.html">dblp:conf/sigmod/MahmoodA17</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/h444z7zuazayhcjc2syjygz6mu">fatcat:h444z7zuazayhcjc2syjygz6mu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190218134854/https://static.aminer.org/pdf/20170130/pdfs/sigmod/sf93nhsjt7aqdcr2mopw8wv5gqibzvca.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f2/c9/f2c9b99116e12f3d2fadd3bdfce9283699bfe1cc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3035918.3054773"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Advanced String Search over Spatial Databases

Vara Lakshmi Konagala, V. Sujatha
<span title="2014-10-30">2014</span> <i title="Global Vision School Publication"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/v7oy5bavhfbi3m6qs2og6huwgy" style="color: black;">International Journal of Private Cloud Computing Environment and Management</a> </i> &nbsp;
Similarly, extends SAS queries to road networks (referred as RSAS queries) [5] .  ...  Our idea is to leverage an adaptive algorithm that finds balanced partitions of nodes from any R-tree based index based on both the spatial and string information in the R-tree nodes.  ...  In this work, we focus on range queries in road networks known as spatial approximate string (SAS) queries in road networks (RSAS queries) [5] .Spatial range queries inquire about certain spatial objects  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.21742/ijpccem.2014.1.1.02">doi:10.21742/ijpccem.2014.1.1.02</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/32evpcb2bbgtrbpwbohnn7ebua">fatcat:32evpcb2bbgtrbpwbohnn7ebua</a> </span>
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THE COLLECTIVE SPATIAL KEYWORD QUERY PROCESSING BASED ON USER PREFERENCES

C. Karpagam
<span title="2017-09-30">2017</span> <i title="IJARCS International Journal of Advanced Research in Computer Science"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dbwzqwxyw5hn3aantchmoxx65q" style="color: black;">International Journal of Advanced Research in Computer Science</a> </i> &nbsp;
This advancement focus on collective spatial keyword query processing (CSKQP) that takes both location and textual description of content.  ...  Geospatial data is predominantly used in many applications to provide location based services on user queries.  ...  The problem of collective spatial keyword queries on road networks explored by Yunjun Gao et al.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.26483/ijarcs.v8i9.4902">doi:10.26483/ijarcs.v8i9.4902</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gr6qljsobbeczgt23u2ephqg6q">fatcat:gr6qljsobbeczgt23u2ephqg6q</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721072331/http://ijarcs.info/index.php/Ijarcs/article/download/4902/4320" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/48/b4/48b4f1747873d6b15841266e24d7bbfa3b477211.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.26483/ijarcs.v8i9.4902"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>
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