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Connexion

Ontology

Description

Aucune description disponible pour cet axe de recherche.

Membres

Besma Ben Amara Besma Ben Amara
Rahma Dhaouadi Rahma Dhaouadi

Publications

  • 2021
    Thouraya Sakouhi, Jalel Akaichi

    Dynamic and multi-source semantic annotation of raw mobility data using geographic and social media data

    Pervasive and Mobile Computing, 71, 101310., 2021

    Résumé

    Nowadays, positioning technologies have become widely available providing then large datasets of individuals’ mobility data. Actually, annotating raw traces with contextual information brings semantics to them and then provides a better understanding of people behavior. To do so, literature work explored novel techniques to enrich raw mobility data with contextual information using either geographic context represented by landmarks/points of interest or widely used social media feeds. Accordingly, in this work, a novel approach integrating three data sources: raw mobility data, geographic information and social media feeds for a two-fold trajectory semantic annotation process is presented. In a first step, structured trajectories are constructed using geographic information. Later, the former are annotated by event-related words grasped from social media. Indeed, combining both data sources could result in a more complete annotation of trajectories. The proposed approach is experimented and evaluated on datasets of tourists in Kyoto. Results showed that the proposed approach quantitatively performed well compared to previous work in terms of precision of annotation words that maintained  when recall reached 50%, while improving its quality by consolidating both sources of semantics.

  • Thouraya Sakouhi, Jamal Malki, Jalel Akaichi

    A Mobility Data Model for Web-Based Tourists Tracking

    In The 14th International Baltic Conference on Databases and Information Systems (BalticDB&IS 2020)., 2020

    Résumé

    Tracking tourists activities at different levels of their journeys provides an overview on their mobility and a comprehension of their behavior and preferences. Most information related to tourism services and tourists are collected and stored through web platforms. In fact, self-drive tourists access touristic information available on the web to plan for their trips. Accordingly, tourism professionals track their requirements in touristic information and then their mobility. Yet, since touristic information is managed at a territorial level, tracking tourists' movement by tourism professionals, out of their territory, is not a straightforward task. Accordingly, the latters do not have a complete overview of tourists movements. Throughout this paper authors will start by discussing mobility data capture through the web and the related challenges. Then, they'll introduce an integrated mobility data model for tracking tourists.

  • Marwa Manaa, Thouraya Sakouhi, Jalel Akaichi

    A trajectory ontology design pattern for semantic trajectory data warehouses: behavior analysis and animal tracking case studies

    In Emerging perspectives in big data warehousing (pp. 83-104). IGI Global., 2019

    Résumé

    Mobility data became an important paradigm for computing performed in various areas. Mobility data is considered as a core revealing the trace of mobile objects displacements. While each area presents a different optic of trajectory, they aim to support mobility data with domain knowledge. Semantic annotations may offer a common model for trajectories. Ontology design patterns seem to be promising solutions to define such trajectory related pattern. They appear more suitable for the annotation of multiperspective data than the only use of ontologies. The trajectory ontology design pattern will be used as a semantic layer for trajectory data warehouses for the sake of analyzing instantaneous behaviors conducted by mobile entities. In this chapter, the authors propose a semantic approach for the semantic modeling of trajectory and trajectory data warehouses based on a trajectory ontology design pattern. They validate the proposal through real case studies dealing with behavior analysis and animal tracking case studies.

  • Hatem Ben Sta, Lamjed Ben Said, Khaled Ghédira, Michel Bigand, Jean Pierre Bourey

    Cartographies of Ontology Concepts

    In ICEIS (3) (pp. 486-494)., 2005

    Résumé

    We are interested to study the state of the art of ontologies and to synthesize it. This paper makes a synthesis of definitions, languages, ontology classifications, ontological engineering, ontological platforms and application fields of ontologies. The objective of this study is to cover and synthesize the ontological concepts through the proposition of a whole of cartographies related to these concepts.