An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories

Baglioni, Miriam; Macêdo, José Antônio Fernandes de; Renso, Chiara

doi:10.1007/978-3-540-87991-6_41

Cited by 33 publications

(31 citation statements)

References 7 publications

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“…This approach is based on the fact that trajectories may themselves be semantically segmented by defining a temporal sequence of time subintervals (moves) where alternatively the object position changes and stays fixed (stops). Based on this approach, Baglioni et al [2] propose the enhancement of raw trajectories with semantic information by exploiting some domain knowledge encoded in an ontology.…”

Section: Related Workmentioning

confidence: 99%

Ad-hoc OLAP on Trajectory Data

Μαρκετοσ

Theodoridis

2010

2010 Eleventh International Conference on Mobile Data Management

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The application of Data Warehousing (DW) and OLAP techniques on conventional data has been extensively studied in the literature. On the other hand, Trajectory Data Warehousing and Trajectory OLAP are relatively new research areas, which have to deal with the spatiotemporal (hence dynamic) nature of such data. In this paper, we present an innovative organization of a trajectory data cube in order to be able to answer OLAP queries considering different interpretations of the notion of trajectory. Thus, ad-hoc analysis on trajectory data cubes can be achieved, which can be really useful for a number of applications. Preliminary experimental results illustrate the applicability and efficiency of our approach.

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Section: Related Workmentioning

confidence: 99%

Ad-hoc OLAP on Trajectory Data

Μαρκετοσ

Theodoridis

2010

2010 Eleventh International Conference on Mobile Data Management

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“…In this context, an individual trajectory consists of a sequence of stops and moves. The former described a time interval when the individual was present in a spatial location performing a specific activity, while the latter represents a spatiotemporal line defined by two locations representing either two consecutive stops or a trajectory beginning or end [29].…”

Section: A Assumptionsmentioning

confidence: 99%

eSTIMe: Towards an All-in-One Geovisualization Environment for Daily Mobility Analysis

Menin

Chardonnel

Davoine

et al. 2019

2019 32nd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)

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“…Renso, Baglioni, de Macedo, Trasarti, and MonicaWachowicz (2013) use inferencing and a mobility behavior ontology, that conceptualizes the ground concepts of the domain. Baglioni, Macedo, Renso, and Wachowicz (2008) present an approach for the semantic modeling of trajectories and reasoning on them, proposing to encode domain knowledge in an ontology. An ontological framework for semantic trajectory modeling is also proposed in Yan et al (2008), which presents ontological modules (sub-ontologies) for the geometric, geographic, and application domain knowledge that define a global semantic trajectory ontology.…”

Section: Some Significant Approaches To Model Semantic Trajectoriesmentioning

confidence: 99%

Semantic management of moving objects: A vision towards smart mobility

Ilarri

Stojanović

Ray

2015

Expert Systems with Applications

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. b s t r a c tThis position paper presents our vision for the semantic management of moving objects. We argue that exploiting semantic techniques in mobility data management can bring valuable benefits to many domains characterized by the mobility of users and moving objects in general, such as traffic management, urban dynamics analysis, ambient assisted living, emergency management, m-health, etc. We present the state-of-the-art in the domain of management of semantic locations and trajectories, and outline research challenges that need to be investigated to enable a full-fledged and intelligent semantic management of moving objects and location-based services that support smarter mobility. We propose a distributed framework for the semantic enrichment and management of mobility data and analyze the potential deployment and exploitation of such a framework.

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An Ontology-Based Approach for the Semantic Modelling and Reasoning on Trajectories

Cited by 33 publications

References 7 publications

Ad-hoc OLAP on Trajectory Data

Ad-hoc OLAP on Trajectory Data

eSTIMe: Towards an All-in-One Geovisualization Environment for Daily Mobility Analysis

Semantic management of moving objects: A vision towards smart mobility

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