The R*-tree: an efficient and robust access method for points and rectangles
SIGMOD '90 Proceedings of the 1990 ACM SIGMOD international conference on Management of data
A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Efficient processing of spatial joins using R-trees
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Realm-based spatial data types: the ROSE algebra
The VLDB Journal — The International Journal on Very Large Data Bases
On map-matching vehicle tracking data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Discovering personally meaningful places: An interactive clustering approach
ACM Transactions on Information Systems (TOIS)
A model for enriching trajectories with semantic geographical information
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
A conceptual view on trajectories
Data & Knowledge Engineering
A clustering-based approach for discovering interesting places in trajectories
Proceedings of the 2008 ACM symposium on Applied computing
HERMES: aggregative LBS via a trajectory DB engine
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Discovery of convoys in trajectory databases
Proceedings of the VLDB Endowment
Mining Massive RFID, Trajectory, and Traffic Data Sets
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Towards Trajectory Anonymization: a Generalization-Based Approach
Transactions on Data Privacy
Toward context and preference-aware location-based services
Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access
From trajectories to activities: a spatio-temporal join approach
Proceedings of the 2009 International Workshop on Location Based Social Networks
Hidden Markov map matching through noise and sparseness
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Map-matching for low-sampling-rate GPS trajectories
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mining correlation between locations using human location history
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
MoveMine: mining moving object databases
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Learning Location Correlation from GPS Trajectories
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Mining periodic behaviors for moving objects
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic construction and multi-level visualization of semantic trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Automatic construction and multi-level visualization of semantic trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mining significant semantic locations from GPS data
Proceedings of the VLDB Endowment
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
A hybrid model and computing platform for spatio-semantic trajectories
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Third party geolocation services in LBS: privacy requirements and research issues
Transactions on Data Privacy
Show Me How You Move and I Will Tell You Who You Are
Transactions on Data Privacy
MyTravel: a geo-referenced social-oriented web 2.0 application
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part I
SeTraStream: semantic-aware trajectory construction over streaming movement data
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Travel time prediction using machine learning
Proceedings of the 4th ACM SIGSPATIAL International Workshop on Computational Transportation Science
An adaptive approach for online segmentation of multi-dimensional mobile data
MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Human activity recognition with trajectory data in multi-floor indoor environment
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Evaluation of fine-granular GPS tracking on smartphones
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Exploring pattern-aware travel routes for trajectory search
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Semantic trajectories: Mobility data computation and annotation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Semantic trajectories modeling and analysis
ACM Computing Surveys (CSUR)
A review of urban computing for mobile phone traces: current methods, challenges and opportunities
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
iDiary: from GPS signals to a text-searchable diary
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Point of interest to region of interest conversion
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
On the Management and Analysis of Our LifeSteps
ACM SIGKDD Explorations Newsletter
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GPS devices allow recording the movement track of the moving object they are attached to. This data typically consists of a stream of spatio-temporal (x,y,t) points. For application purposes the stream is transformed into finite subsequences called trajectories. Existing knowledge extraction algorithms defined for trajectories mainly assume a specific context (e.g. vehicle movements) or analyze specific parts of a trajectory (e.g. stops), in association with data from chosen geographic sources (e.g. points-of-interest, road networks). We investigate a more comprehensive semantic annotation framework that allows enriching trajectories with any kind of semantic data provided by multiple 3rd party sources. This paper presents SeMiTri - the framework that enables annotating trajectories for any kind of moving objects. Doing so, the application can benefit from a "semantic trajectory" representation of the physical movement. The framework and its algorithms have been designed to work on trajectories with varying data quality and different structures, with the objective of covering abstraction requirements of a wide range of applications. Performance of SeMiTri has been evaluated using many GPS datasets from multiple sources -- including both fast moving objects (e.g. cars, trucks) and people's trajectories (e.g. with smartphones). These two kinds of experiments are reported in this paper.