In this paper we aim at providing a model for the conceptual representation and deductive reasoning of trajectory patterns obtained from mining raw trajectories. This has been achieved by means of a semantic enrichment process, where raw trajectories are enhanced with semantic information and integrated with geographical knowledge encoded in an ontology. The reasoning mechanisms provided by the chosen ontology formalism are exploited to accomplish a further semantic enrichment step that gives a possible interpretation of discovered patterns in terms of movement behaviour. A sketch of the realised system, called Athena, is given, along with some examples to demonstrate the feasibility of the approach
Trajectory mining has gained growing attention due to its emerging applications, such as location-ba...
International audienceThis paper presents an original approach for supporting the use of geovisual a...
With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by m...
In this paper we aim at providing a model for the conceptual representation and deductive reasoning ...
Recently several types of research have been suggested in the last few years for modelling and analy...
Trajectories left behind cars, humans, birds or any other moving object are a new kind of data which...
The constant increase of moving object data imposes the need for modeling, processing, and mining tr...
The widespread use of mobile devices is producing a huge amount of trajectory data, making the disco...
International audienceWith the increasing availability of movement data, movement pattern analysis h...
Mobile devices leave a huge number of digital traces that are collected as trajectories, describing ...
Several works have been proposed in the last few years for raw trajectory data analysis, and some at...
Focus on movement data has increased as a consequence of the larger availability of such data due to...
Focus on movement data has increased as a consequence of the larger availability of such data due to...
User-generated social media data tagged with geographic information present messages of dynamic spat...
Trajectory pattern mining is becoming increasingly popular because of the development of ubiquitous ...
Trajectory mining has gained growing attention due to its emerging applications, such as location-ba...
International audienceThis paper presents an original approach for supporting the use of geovisual a...
With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by m...
In this paper we aim at providing a model for the conceptual representation and deductive reasoning ...
Recently several types of research have been suggested in the last few years for modelling and analy...
Trajectories left behind cars, humans, birds or any other moving object are a new kind of data which...
The constant increase of moving object data imposes the need for modeling, processing, and mining tr...
The widespread use of mobile devices is producing a huge amount of trajectory data, making the disco...
International audienceWith the increasing availability of movement data, movement pattern analysis h...
Mobile devices leave a huge number of digital traces that are collected as trajectories, describing ...
Several works have been proposed in the last few years for raw trajectory data analysis, and some at...
Focus on movement data has increased as a consequence of the larger availability of such data due to...
Focus on movement data has increased as a consequence of the larger availability of such data due to...
User-generated social media data tagged with geographic information present messages of dynamic spat...
Trajectory pattern mining is becoming increasingly popular because of the development of ubiquitous ...
Trajectory mining has gained growing attention due to its emerging applications, such as location-ba...
International audienceThis paper presents an original approach for supporting the use of geovisual a...
With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by m...