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Towards Why-Not Spatial Keyword Top-$k$ Queries: A Direction-Aware Approach

Lei Chen, Yafei Li, Jianliang Xu, Christian S. Jensen
2018 IEEE Transactions on Knowledge and Data Engineering  
Index Terms-Why-not questions, spatial keyword top-k queries, query refinement.  ...  This paper studies the direction-aware why-not spatial keyword top-k query problem.  ...  We adopt the query refinement model to answer why-not questions on direction-aware spatial keyword top-k queries.  ... 
doi:10.1109/tkde.2017.2778731 fatcat:2ttcfqnpgbczneokxhw5yisbea

Answering why-not spatial keyword top-k queries via keyword adaption

Lei Chen, Jianliang Xu, Xin Lin, Christian S. Jensen, Haibo Hu
2016 2016 IEEE 32nd International Conference on Data Engineering (ICDE)  
Answering the resulting why-not questions can aid users in retrieving better results. However, no existing techniques are able to answer why-not questions by adapting the query keywords.  ...  A spatial keyword top-k query retrieves the best k such objects according to a scoring function that considers both spatial distance and textual similarity.  ...  In this paper, we apply the query refinement model to solve the problem of answering why-not questions on spatial keyword top-k queries via keyword adaption.  ... 
doi:10.1109/icde.2016.7498282 dblp:conf/icde/ChenXLJH16 fatcat:uj7feyiptbfrdbqgepconrbdji

Answering why-not questions on spatial keyword top-k queries

Lei Chen, Xin Lin, Haibo Hu, Christian S. Jensen, Jianliang Xu
2015 2015 IEEE 31st International Conference on Data Engineering  
Spatial keyword top-k queries retrieve k such objects with the best score according to a ranking function that takes into account a query location and query keywords.  ...  We provide techniques that allow the revision of spatial keyword queries such that their results include one or more desired, but missing objects.  ...  CONCLUSIONS AND FUTURE WORK In this paper, we studied how to answer why-not questions on spatial keyword top-k queries using query refinement.  ... 
doi:10.1109/icde.2015.7113291 dblp:conf/icde/ChenLHJX15 fatcat:ajjnuyy4rjfexl3avnp7wa5h2m

Spatial Keyword Querying: Ranking Evaluation and Efficient Query Processing [article]

Ilkcan Keles
2018 PhD series, Technical Faculty of IT and Design, ˜Aalborg=ålborgœ University  
In this thesis, we focus on top-k spatial keyword queries.  ...  Thus corresponds to issuing a top-k spatial keyword query [2] . Definition C.2 (Top-k Spatial Keyword Query).  ...  Algorithm The DBSCAN-based algorithm is built on top of the algorithms proposed to process k-STC queries.  ... 
doi:10.5278/vbn.phd.tech.00039 fatcat:x53exbaxcjd7bjq5g7uwexspqu

Efficient Spatial Keyword Search in Trajectory Databases [article]

Gao Cong, Hua Lu, Beng Chin Ooi, Dongxiang Zhang, Meihui Zhang
2012 arXiv   pre-print
Given a user location λ and a keyword set ψ, a top-k query returns k trajectories whose text descriptions cover the keywords ψ and that have the shortest match distance.  ...  The fusion of spatial locations and text descriptions in trajectories engenders a new type of top-k queries that take into account both aspects.  ...  In this paper, we introduce a new problem: the top-k spatial keyword query (TkSK) on trajectories.  ... 
arXiv:1205.2880v1 fatcat:xvswrgavtre6heior4tp47fvcy

Query Processing of Geosocial Data in Location-Based Social Networks

Arianna D'Ulizia, Patrizia Grifoni, Fernando Ferri
2021 ISPRS International Journal of Geo-Information  
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  ...  The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be  ...  S50 Social space Keyword Query returns the top-k semantic trajectory for users has higher social relevance and shorter distance while satisfying spatial and keyword constraints S56 why-not top-k geosocial  ... 
doi:10.3390/ijgi11010019 fatcat:lw3mjaoj2vfytazrfuvuekyewa

Koios++: A Query-Answering System for Handwritten Input

Marcus Liwicki, Bjorn Forcher, Philipp Jaeger, Andreas Dengel
2012 2012 10th IAPR International Workshop on Document Analysis Systems  
The system is implemented as a web-service and therefore works for handwritten input on digital paper as well as on input on Pen-enabled interactive surfaces.  ...  After recognizing a handwritten query, several output hypotheses are sent to a natural language processing system in order to generate a structured query (SPARQL query).  ...  In contrast to typical question answering systems [8] , it does not produce a natural language answer for the result, but a structured (graph-shaped) query and a list of values which fill the questioned  ... 
doi:10.1109/das.2012.48 dblp:conf/das/LiwickiFJD12 fatcat:zwmg5xspjbcunovkdmcd2f6o6e

Database research at the National University of Singapore

Stephane Bressan, Chee Yong Chan, Wynne Hsu, Mong-Li Lee, Tok-Wang Ling, Beng Chin Ooi, Kian-Lee Tan, Anthony K.H. Tung
2013 SIGMOD record  
We have developed an eAEective model to represent the safe region of a moving top-k spatial-keyword query.  ...  The manager could issue a follow-up "why-not" question to clarify why Alice's sales figure is not higher than that of Bob's.  ... 
doi:10.1145/2503792.2503803 fatcat:vjmwiquqobhhxofmhhkt3q5boy

Interactive Sports Analytics

Long Sha, Patrick Lucey, Yisong Yue, Xinyu Wei, Jennifer Hobbs, Charlie Rohlf, Sridha Sridharan
2018 ACM Transactions on Computer-Human Interaction  
We conduct a user study to compare our method to the conventional keywords-based system and the results show that our method significantly improves the retrieval quality.  ...  With the massive amount of fine-grained data being generated, new data-points are being generated, which can shed light on player and team performance.  ...  However, another use of these data-points is to elicit interaction from users to answer fine-grained questions that they may not have been previously able to answer.  ... 
doi:10.1145/3185596 fatcat:ltffscrhbvbjzbhvi7ensgpydi

Using geo-spatial session tagging for smart multicast session discovery

Piyush Harsh, Richard Newman
2009 Proceedings of the 2009 ACM symposium on Applied Computing - SAC '09  
In this paper authors propose to leverage mDNS architecture by enabling multicast sessions to be tagged using geographical and spatial information based on the channel contents or service provider location  ...  Despite its numerous benefits over IP unicast, multicast has not seen widespread deployment over modern networks.  ...  If multiple keywords are present in the query, it is very likely that the query would go to different MSD servers responsible for each of the specified keyword.  ... 
doi:10.1145/1529282.1529287 dblp:conf/sac/HarshN09 fatcat:xagpi2qpgndgpmwgiiqbd5r4ci

Don't Just Swipe Left, Tell Me Why

Juan Felipe Beltran, Ziqi Huang, Azza Abouzied, Arnab Nandi
2017 Proceedings of the 22nd International Conference on Intelligent User Interfaces - IUI '17  
Query specification with keywords is a popular solution.  ...  Based on our analysis and user studies, we demonstrate that query specification by swiping through reason bins is easy and expressive.  ...  ← 5 (number of bins to generate) procedure generateBins(document d, query Q, ignored bins I) bins ← d.candidate-bins -Q -I return top(bins, k) If a user does not seed the search, BINGO returns a document  ... 
doi:10.1145/3025171.3025212 dblp:conf/iui/BeltranHA017 fatcat:ukettpjnwjcljdoobmblcqmedy

From 5Vs to 6Cs: Operationalizing Epidemic Data Management with COVID-19 Surveillance [article]

Akhil Sai Peddireddy, Dawen Xie, Pramod Patil, Mandy L. Wilson, Dustin Machi, Srinivasan Venkatramanan, Brian Klahn, Przemyslaw Porebski, Parantapa Bhattacharya, Shirish Dumbre, Madhav Marathe
2020 biorxiv/medrxiv  
Our dashboard was one of the first released to the public, and remains one of the most visited and highly used.  ...  Our dashboard includes a number of advanced features for zooming, filtering, categorizing and visualizing multiple time series on a single canvas.  ...  If it fails to meet the minimum threshold, it will be considered a failed query and the user can be alerted that the question could not be answered.  ... 
doi:10.1101/2020.10.27.20220830 pmid:33140060 pmcid:PMC7605571 fatcat:36v2mh573vhbvjqpblrw2s32nm

Efficient Computation of Polynomial Explanations of Why-Not Questions

Nicole Bidoit, Melanie Herschel, Aikaterini Tzompanaki
2015 Proceedings of the 24th ACM International on Conference on Information and Knowledge Management - CIKM '15  
Answering a Why-Not question consists in explaining why the result of a query does not contain some expected data, called missing answers.  ...  This paper [6] focusses on processing Why-Not questions following a query-based approach that identifies the culprit query components.  ...  [17] ), reverse skyline queries (Islam et. al. [22] ), reverse Top-k queries (WQRTQ [13] ), spatial keyword Top-K queries (Chen et. al. [10] ) etc.  ... 
doi:10.1145/2806416.2806426 dblp:conf/cikm/BidoitHT15 fatcat:yhn5i4qsbjbmxk7njdv5f6m6xq

Information retrieval using a hypertext-based help system

F. R. Campagnoni, K. Erlich
1989 SIGIR Forum  
Although subjects did not become lost, individuals with better spatial visualization ability, as measured by a standardized test, were faster at retrieving information and returned to the top of the information  ...  A study was conducted on information retrieval using a commercial hypertextbased help system.  ...  ACKNOWLEDGMENTS The Sun386i Help System is part of an on-going multidisciplinary effort to develop high quality online information systems.  ... 
doi:10.1145/75335.75357 fatcat:s7j2fq45mrb4da746rbt55wez4

EKTVQA: Generalized use of External Knowledge to empower Scene Text in Text-VQA [article]

Arka Ujjal Dey, Ernest Valveny, Gaurav Harit
2022 arXiv   pre-print
The open-ended question answering task of Text-VQA often requires reading and reasoning about rarely seen or completely unseen scene-text content of an image.  ...  We address this zero-shot nature of the problem by proposing the generalized use of external knowledge to augment our understanding of the scene text.  ...  In SA-M4C [19] the authors documented that 13% of the questions have one or more spatial preposition (e.g. 'right','top','contains').  ... 
arXiv:2108.09717v7 fatcat:bgg3m32qmzhsboyiozgjrmux6i
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