Gérer les informations temporelles dans et par les modèles informatiques

International audienceTemporal information proves to be prominent in many scientific problems. As regards Geography, temporal concerns are often in long or mean term interaction with spatial aspects and calendar issues. Practical and theoretical approaches necessarily cross-reference various viewpoints from several scientific communities. The use of formal models is a means to make languages and practices more accurate and efficient, hence leading to more efficiency (consistency, correction, reusability…). The will to access larger, more and more complex and heterogeneous pieces of information, leads to master the way to populate and query data warehouses and knowledge bases. With several paradigms, computer science, provides models which can express and help solving many current and forthcoming problems. This paper gives an overview of the state of art in the matter of temporal modelling, accompanied with some meta-model instances and some insight into practical applications.Les informations temporelles jouent un rôle important dans une grande majorité de problèmes scientifiques. En géographie, l'interaction avec les aspects spatiaux et la référence à des calendriers sur de longues périodes est fréquente. Les approches théoriques ou expérimentales croisent nécessairement différents points de vue de plusieurs communautés scientifiques. Pour préciser et unifier les langages et les pratiques, l'utilisation systématique de modèles plus ou moins formels est une garantie d'efficacité (cohérence, correction, réutilisation, etc.). L'accès à des masses toujours plus importantes d'informations complexes et hétérogènes, la volonté de capitalisation des résultats nécessitent le peuplement et l'interrogation d'entrepôts de données et de bases de connaissance. L'informatique produit des modèles qui permettent de formuler et de résoudre un grand nombre de questions en la matière. Le présent article donne un état de l'art sur le sujet ainsi que des exemples de modèles assortis de références à des travaux applicatifs

Using Conceptual and Ontological Models for Tracking Changes of Spatio-Temporal Objects and Concepts over Time

International audienceno abstrac

Combining Conceptual and Ontological Models for Representing Spatio-Temporal Data and Semantic Evolution in GIS

International audienceIn this paper, we present a new approach as a spatio-temporal data model for the geographic information systems (GIS). We base our approach on the MADS conceptual model that we will be combine to a corresponding new generated ontology model using a set of transformation rules

An ontology-based model for representing evolution of both data and semantic in GIS

International audienceno abstrac

Using Conceptual and Ontological Models for Tracking Changes of Spatio-Temporal Objects and Concepts over Time

International audienceno abstrac

A Comparative Study for Evaluating Recent Advances in Wireless Body Sensor Network

Internet of things (IoT) network helps communities, cities and industries better manage their work efficiently and provides a superior quality of service. This can be applied on Wireless Body Sensor Networks (WBSN) employed in healthcare industry. As any network, WBSN has its challenges that attracts researchers for its potential in serving humanity. Thus, enhancing WBSN could take many forms like enhancing the energy consumption of sensors, the communication or transmission and data analysis. Many researches cater to the above topics individually or combined to promise better outcomes. In this paper, we present a comparative study for some of the techniques and enhancement that researchers bring into WBSN for e-health applications and highlighting the gaps that would be a target for future researches. We provide a detailed overview of WBSN purposes and used techniques. The paper presents a number of the recent advanced techniques which fall under the survey’s objective and compare them. For an objective comparison, we focus on a set of criteria related to e-health and involving data reduction, energy conservation, decision-making up to the intervention

Event-based Semantic Visualization of Trajectory Data in Urban City with a Space-time Cube

International audienceVisualizing the implicit information of trajectory data is very important for analyzing human activities and is of great value in the decision making process. The objective of our research is to provide a semantic visualization method for trajectory data and the result of analysis. To format the trajectory data, we propose an object-oriented abstract data type (ADT). An event, which represents the human activities in our ADT, is a critical element for analysis enhanced with two special attributes: a semantic-based relationship to extract implicit information; and semantic-based levels of details (LOD) as a standard for the processing of raw data. The proposed visualization concept has been implemented in a prototype system with a space-time cube. Further information is achieved by internal queries making use of semantic attributes and is shown in an advanced user defined space-time cube, which displays richer information. The results of the experimental prototype system suggest that the proposed visualization method is feasible and flexible

Generic modeling of application and spatiotemporal data : application to the study of pedestrian behavior

International audienceIn this paper we propose a methodology describing a global process used to model both urban spatiotemporal data and applications. During the design phase, we use a tool based on the Entity-Relation formalism that is dedicated to spatiotemporal data design (MADS). The resulting conceptual schemas are adapted to the particularities of the urban data by distinguishing between physical concepts (continuants) and events (occurents). This distinction enables a better readability of conceptual schemas and a more powerful interoperability. The resulting schemas are then implemented in an Object Oriented environment. In the end, we use a GIS to query and graphically represent urban data. In order to test the capacity of our proposed modeling methodology in a real case, we apply it on a case study whose objective is to analyze pedestrian walkways in urban areas

Urban Spatiotemporal Data Modeling : Application to the Study of Pedestrian Walkways

International audienceIn this paper we propose a methodology describing a global process used to model urban spatiotemporal data. During the design phase, we use a tool based on the Entity-Relation formalism that is dedicated to the spatiotemporal data design (MADS). The resulting conceptual schemas are adapted to the particularities of the urban data by distinguishing between physical concepts (continuants) and events (occurents). This distinction en- ables a better readability of conceptual schemas and a more powerful in- teroperability. The resulting schemas are then implemented in an Object Oriented environment. In the end, we use a GIS to query and graphically restitute the urban data. In order to test the capacity of our proposed modeling methodology in a real case, we apply it on a case study whose objective is to analyze pedestrian walkways in urban areas