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Semantic-aware Query Processing for Activity Trajectories

Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu
2017 Proceedings of the Tenth ACM International Conference on Web Search and Data Mining - WSDM '17  
In this paper, we incorporate the semantic analysis of the activity information embedded in trajectories into query modelling and processing, with the aim of providing end users more accurate and meaningful  ...  Existing trajectory data management studies mainly focus on analyzing the spatio-temporal properties of trajectories, while leaving the understanding of their activities largely untouched.  ...  In this paper, we tend to integrate topic model and activity trajectory for user-oriented trajectory similarity search. Spatial Keyword Search.  ... 
doi:10.1145/3018661.3018678 dblp:conf/wsdm/LiuXZLDW17 fatcat:pcstpbopifff5j7eyepo2uunmy

Towards efficient search for activity trajectories

Kai Zheng, Shuo Shang, N. J. Yuan, Yi Yang
2013 2013 IEEE 29th International Conference on Data Engineering (ICDE)  
) has given rise to large amounts of trajectories associated with activity information, called activity trajectory.  ...  In this paper, we study the problem of efficient similarity search on activity trajectory database.  ...  CONCLUSION This paper studies the problem of efficient similarity search on the trajectories associated with activity information, given multiple query locations with activity requirement.  ... 
doi:10.1109/icde.2013.6544828 dblp:conf/icde/ZhengSYY13 fatcat:dtvlhi5s5bc6rirlsjjixzpjju

BilVideo: a video database management system

T. Catarci, M.E. Donderler, E. Saykol, O. Ulusoy, U. Gudukbay
2003 IEEE Multimedia  
These queries contain any combination of conditions related to direction, topology, 3D relationships, object appearance, trajectory projection, and similaritybased object trajectories.  ...  To respond to user queries containing both spatio-temporal and semantic conditions, a query processor interacts with the knowledge base and object-relational database and integrates the results returned  ...  Searches specify object motion as an arbitrary trajectory and annotations support keyword-based searching. Users can browse the video collection before giving complex and specific queries.  ... 
doi:10.1109/mmul.2003.1167924 fatcat:ptyakgvpnfbu3dbxuhmyglg2ze

BilVideo Video Database Management System [chapter]

Özgür Ulusoy, Uğur Güdükbay, Mehmet Emin Dönderler, Ediz Şaykol, Cemil Alper
2004 Proceedings 2004 VLDB Conference  
These queries contain any combination of conditions related to direction, topology, 3D relationships, object appearance, trajectory projection, and similaritybased object trajectories.  ...  To respond to user queries containing both spatio-temporal and semantic conditions, a query processor interacts with the knowledge base and object-relational database and integrates the results returned  ...  Searches specify object motion as an arbitrary trajectory and annotations support keyword-based searching. Users can browse the video collection before giving complex and specific queries.  ... 
doi:10.1016/b978-012088469-8.50150-9 dblp:conf/vldb/UlusoyGDSA04 fatcat:z72lwewjuzes5ddyrzintcmhmu

BilVideo Video Database Management System [chapter]

O ULUSOY, U GUDUKBAY, M DONDERLER, E SAYKOL, C ALPER
2004 Proceedings 2004 VLDB Conference  
These queries contain any combination of conditions related to direction, topology, 3D relationships, object appearance, trajectory projection, and similaritybased object trajectories.  ...  To respond to user queries containing both spatio-temporal and semantic conditions, a query processor interacts with the knowledge base and object-relational database and integrates the results returned  ...  Searches specify object motion as an arbitrary trajectory and annotations support keyword-based searching. Users can browse the video collection before giving complex and specific queries.  ... 
doi:10.1016/b978-012088469-8/50150-9 fatcat:wupgyykisvaoheqwl4c7nxgp3a

Patient healthcare trajectory. An essential monitoring tool: a systematic review

Jessica Pinaire, Jérôme Azé, Sandra Bringay, Paul Landais
2017 Health Information Science and Systems  
Fourteen search questions were formulated to guide our review.  ...  We illustrated this concept with an example: a myocardial infarction (MI) occurring in a patient's hospital trajectory of care. The patient follow-up was traced via the prospective payment system.  ...  Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in publishedmaps and institutional affiliations.  ... 
doi:10.1007/s13755-017-0020-2 pmid:28413630 pmcid:PMC5390363 fatcat:ewbyowzmhrc3fd6wlp2cspymie

Using google analytics to support cybersecurity forensics

Han Qin, Kit Riehle, Haozhen Zhao
2017 2017 IEEE International Conference on Big Data (Big Data)  
Google Analytics collects and aggregates web traffic, including information about web visitors' location, date and time of visit, visited webpages, and searched keywords.  ...  To better understand the threat of malicious cyber actors, this study develops a methodology to monitor and evaluate web activity using data archived from Google Analytics.  ...  Like attorneys, cyber analysts must cut through large volumes of data and be adept at working with text, namely website URLs and searched keywords.  ... 
doi:10.1109/bigdata.2017.8258385 dblp:conf/bigdataconf/QinRZ17 fatcat:hawhc7n7hfe2hphkzinj5y6nhq

Reverse Path Nearby Cluster (Rpnc) Query Optimization using Trajectory Clustering With Ensemble Learning (Tcel) In Spatial Networks

2019 International Journal of Engineering and Advanced Technology  
Distribution Clustering with Support Vector Machine is used to form a R-PNC clusters in the existing works. Trajectories with low positioning accuracy are used by this method.  ...  Trajectory Clustering with Ensemble Learning (TCEL) is proposed to overcome this problem. In this, Reverse Path nearby Cluster (R-PNC) query is used for effective path selection.  ...  Illustrates the formation of clustering using the proposed trajectory clustering with ensemble learning (RPNC-TCEL) for Reverse Path Nearby query based search.  ... 
doi:10.35940/ijeat.a1930.109119 fatcat:pryetlb3rvdblkz63kjkmkr2em

Travel Route Recommendation System using User Keyword Search

2020 International journal of recent technology and engineering  
Data mining with the help of Big Data - Hadoop can help analyze and derive information, which can increase the growth of industry and give accurate suggestion to customer.  ...  By combining the power of Data Analytics of data mining, Big Data and programming capabilities of Java, this project focuses on building a customer centric Keyword Aware Travel Route Framework."  ...  Henceforth it Personalized trip recommendation to user on the basis of their Keyword search Registration Login User Profile Enters Reviews of places travelled OR Search based on Keywords  ... 
doi:10.35940/ijrte.e7275.038620 fatcat:bi2cvyycz5g7jpc23i5hxkdrf4

Motion Planning of Upper-Limb Exoskeleton Robots: A Review

Clautilde Nguiadem, Maxime Raison, Sofiane Achiche
2020 Applied Sciences  
The search strategy was to use and combine terms "trajectory planning", "upper limb", and "exoskeleton" as high-level keywords.  ...  "Trajectory planning" and "motion planning" were also combined with the following keywords: "rehabilitation", "humanlike motion", "upper extremity", "inverse kinematic", and "learning machine ". (3) Results  ...  These keywords were selected after performing an initial search to ensure that there were no areas within this field that were excluded due to inadequate keyword selection.  ... 
doi:10.3390/app10217626 fatcat:opvdlgdebrfn3aiy2q4cr7qsye

Is there a shift to "active nanostructures"?

Vrishali Subramanian, Jan Youtie, Alan L. Porter, Philip Shapira
2009 Journal of nanoparticle research  
We build upon the NSF definition of active nanostructures to develop a research publication search strategy, with a particular intent to distinguish between passive and active nanotechnologies.  ...  It has been suggested that an important transition in the long-run trajectory of nanotechnology development is a shift from passive to active nanostructures.  ...  Acknowledgments This research was undertaken at the Project on Emerging Nanotechnologies (PEN) and at Georgia Tech with support by PEN and the Center for Nanotechnology in Society at Arizona State University  ... 
doi:10.1007/s11051-009-9729-4 pmid:21170117 pmcid:PMC2988198 fatcat:2gdsvn743re23okdwkyg4o5upa

Hybrid reasoning technique for improving context-aware applications

Matthias Strobbe, Olivier Van Laere, Bart Dhoedt, Filip De Turck, Piet Demeester
2011 Knowledge and Information Systems  
For the desk sharing office use case, the combination of rule-based and case-based reasoning allows to automatically learn typical trajectories of a user and improve localization on such trajects with  ...  With the rapid adoption of GPS enabled smart phones and the fact that users are almost permanently connected to the Internet, an evolution is observed towards applications and services that adapt themselves  ...  Three extra keywords (besides the recognized keyword) are used for the content search.  ... 
doi:10.1007/s10115-011-0411-7 fatcat:4m5fgoenvvfw5ccwsqdvtxpssq

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

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020 arXiv   pre-print
We also explore four closely related analytical tasks commonly used with trajectory data in interactive or real-time processing. Deep trajectory learning is also reviewed for the first time.  ...  and spatial-textual trajectory data, and trajectory clustering.  ...  Pointwise Search with Keywords. Several recent papers have explored the problem of spatialtextual trajectory search in a range of different scenarios. Cong et al.  ... 
arXiv:2003.11547v2 fatcat:5gf5h5skqjbrhf67cflygggnky

Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data [chapter]

Santi Phithakkitnukoon, Teerayut Horanont, Giusy Di Lorenzo, Ryosuke Shibasaki, Carlo Ratti
2010 Lecture Notes in Computer Science  
Besides geographic space, in this paper, we characterize mobility in a profilebased space (activity-aware map) that describes most probable activity associated with a specific area of space.  ...  In addition, within the group itself, the similarity in activity patterns decreases as their work places become apart.  ...  For each activity category of each cell, we make three search attempts using different keywords. The keywords used for each activity category are listed in Table 2.  ... 
doi:10.1007/978-3-642-14715-9_3 fatcat:c4lulomyzjfjvmnvmzimdanz6m

Detailed author index

2015 2015 31st IEEE International Conference on Data Engineering Workshops  
d Scalable Collective Spatial Keyword Query Smith, Daniel 101 '!:!  ...  [Search] ABCDEFGHI JKLMNOPQRSTUVWXYZ ICDE Workshops 2015 Detailed Author Index [Page 14 / 29] Lopes, Nuno 110 m Managing Travels with PETRA: The Rome Use Case LU, Zheng 00 [Search] ABCDEFGHI  ... 
doi:10.1109/icdew.2015.7129529 fatcat:4vkbzbkin5fvhmiibrbqxegjaq
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