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Describing the location history of moving objects exclusively in geometric terms is no longer sufficient, whereas more expressive data models capturing the complexity and heterogeneity of movement data are needed. Following this trend, the data model of symbolic trajectories has been recently proposed for the representation of content-rich trajectories in(More)
Due to the proliferation of GPS-enabled devices in vehicles or with people, large amounts of position data are recorded every day and the management of such mobility data, also called trajectories, is a very active research field. A lot of effort has gone into discovering “semantics” from the raw geometric trajectories by relating them to the(More)
Symbolic trajectories is a novel data model recently proposed for the modeling and querying of temporally annotated sequences of symbolic descriptions, representing e.g. transportation means, places of interest, and so forth. Unlike geometric trajectories, symbolic trajectories capture the thematic dimension of movement. In this demonstration, we illustrate(More)
Sarcomatoid Carcinoma (SC) is an unusual and aggressive variant of squamous cell carcinoma, which frequently recurs and metastasizes; for this reason, the right diagnosis is very important. It is considered to be a biphasic tumor made up of cells from squamous and spindle cells carcinoma with a sarcomatous aspect, but of epithelial origin. The diagnosis(More)
Mobile applications, for example for road traffic monitoring, mobile health and animal data ecology, call for methods enabling rich and expressive representation of moving objects. This demand motivates the increasing concern for the paradigm of semantic trajectories. In this paper, I overview related research, focusing in particular on the novel data model(More)
Recording mobility data with GPS-enabled devices, e.g., smart phones or vehicles, has become a common issue for private persons, companies, and institutions. Consequently, the requirements for managing these enormous datasets have increased drastically, so trajectory management has become an active research field. In order to avoid querying raw(More)
Lately, the amount of mobility data recorded by GPS-enabled (and other) devices has increased drastically, entailing the necessity of efficient processing and analysis methods. In many cases, not only the geographic position, but also additional information according to the purpose of the evaluation are traced and/or generated. In this paper, we present an(More)
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