• Liste des candidats au concours du recrutement au grade de maître assistant en informatique avec planning de passage
  • Toutes nos félicitations à notre  collègue   Madame Mariem GZARA pour sa promotion  au grade de Maître de conférences de l'enseignement supérieur 
  • Toutes nos félicitations à notre  collègue   Monsieur Chafik ALOULOU pour sa promotion au grade de Maître de conférences de l'enseignement supérieur 
  • Toutes nos félicitations à notre  collègue   Monsieur Slim Kanoun pour sa promotion  au grade de Professeur de l'enseignement supérieur 
  • Toutes nos félicitations à notre  collègue   Monsieur Yassine BEN AYED pour sa promotion  au grade de Professeur de l'enseignement supérieur 
  • [Journal] Abdelaziz TRIKI , Bassem BOUAZIZ et Walid MAHDI. A deep learning-based approach for detecting plant organs from digitized herbarium specimen images. , juillet, 2022, Ecological Informatics
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  • [Journal] Nassira Achich, Fatma Ghorbel, Sonda Ammar Bouhamed, Fayçal Hamdi, Elisabeth Métais, Faiez Gargouri, haithem kharfia et Bilel Gargouri. An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2. , juillet, 2022, New Generation Computing
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    Abstract

    Temporal data (TD) in Semantic Web are affected by different types of imperfections principally conflict. In the literature, most of the proposed approaches deal with perfect TD. However, to our knowledge, there is no approach to dealing with conflicting TD. In this paper, we propose an approach to represent and reason about quantitative conflicting TD (i.e., time intervals and points) and associated qualitative relations (e.g., “before”). This approach is based on evidence theory and it is three folds. (i) For the representation, the mass function of the conflicting temporal data is estimated, through the believability measures estimated based on our previous DBE_ALZ approach. Then, an ontology-based representation for the handled TD associated with the obtained mass function is proposed. (ii) For the reasoning, our approach relies on the Allen’s interval relations. First, we extend this algebra to reason about conflicting temporal relations. The resulting interval relations preserve the properties of the original algebra. Second, we adapt the proposed relations to define new ones relating a time interval and a time point, and two time points. All the proposed relations can be used for temporal reasoning through transitivity tables. (iii) Based on (i) and (ii), we propose a new evidential ontology named “BeliefTimeOnto”. We implement a prototype to ease the interaction with the proposed ontology. We conduct two case studies: the first is about temporal data entered by Alzheimer’s patients in the context of a memory prosthesis and the second is about data entered the context of Collective Memory application. The evaluation proves the usefulness of the proposed approach as all the inferences are well established and the precision results are interesting.

  • [Conférence nationale] Nassira Achich. Traitement des données temporelles certaines et incertaines en OWL 2 : Approche basée sur la théorie des probabilités. Les journées francophones d’Ingénierie des Connaissances (IC), juillet, 2022, Saint-Etienne, France
    Abstract

    Les données temporelles fournies par les patients atteints Alzheimer sont sujettes à l’incertitude. De nombreuses approches ont été proposées pour traiter des données temporelles certaines, mais non pas celles qui sont incertaines. Cet article propose une approche pour représenter et raisonner sur des intervalles et des points de temps quantitatifs certains et incertains et les relations qualitatives entre eux. Elle inclut trois volets : (1) une extension de l’approche 4D-fluents avec de nouvelles composantes ontologiques pour représenter des données temporelles certaines et incertaines. (2) une extension de l’algèbre des intervalles d’Allen pour raisonner sur des intervalles de temps certains et incertains. Une adaptation de relations cette algèbre pour relier un intervalle de temps et un point de temps, et deux points de temps. (3) Enfin une ontologie qui intègre toutes ces extensions. Un prototype a été implémenté et intégré dans une prothèse de mémoire pour les patients atteints de la maladie d’Alzheimer afin de gérer des entrées de données incertaines.

  • [Conférence intertnationale] Nassira Achich, Fatma Ghorbel, Bilel Gargouri, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Handling Temporal Data Imperfections in OWL 2 - Application to Collective Memory Data Entries. International Conference on Research Challenges in Information Science (RCIS 2022), mai, 2022, Barcelone, Espagne
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    Abstract

    Dealing with imperfect temporal data entries in the context of Collective and Personal Memory applications is an imperative matter. Data are structured semantically using an ontology called “Collective Memo Onto”. In this paper, we propose an approach that handles temporal data imperfections in OWL 2. We reduce to four types of imperfection defined in our typology of temporal data imperfections which are imprecision, uncertainty, simultaneously uncertainty and imprecision and conflict. The approach consists of representing imperfect quantitative and qualitative time intervals and time points by extending the 4D-fluents approach and defining new components, as well as reasoning about the handled data by extending the Allen’s Interval algebra. Based on both extensions, we propose an OWL 2 ontology named “TimeOntoImperfection”. The proposed qualitative temporal relations are inferred via a set of 924 SWRL rules. We validate our work by implementing a prototype based on the proposed ontology and we apply it in the context of the Collective Memory Temporal Data.

  • [Journal] Abdelaziz TRIKI , Bassem BOUAZIZ, Walid MAHDI, Hamdi Hamed et Jitendra Gaikwad. Deep learning based approach for digitized herbarium specimen segmentation. , mars , 2022, Multimedia Tools and Applications
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  • [Conférence intertnationale] Leïla Bayoudhi, Najla Jaziri et Wassim JAZIRI. How Latest Computer Science Research Copes with COVID-19?. 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), decembre, 2021, Proceedings of the 21st International Conference on Intelligent Systems Design and Applications (ISDA 2021), World Wide Web
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  • [Conférence intertnationale] Leïla Bayoudhi, Najla Jaziri et Wassim JAZIRI. An Overview of Biomedical Ontologies for Pandemics and Infectious Diseases Representation. the 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems(KES 2021), septembre, 2021, Proceedings of the 25th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2021), Poland and online. Procedia Computer Science 192
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  • [Conférence intertnationale] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Handling Uncertain Time Intervals in OWL 2: Possibility Vs Probability Theories-based Approaches. 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), aout, 2021, Luxembourg
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    Abstract

    In this paper, we propose an approach to handling uncertain time intervals and related qualitative relations, based on possibility theory. Four contributions are included in this approach. (1) Representing uncertain time intervals and related qualitative relations by extending the 4D-fluents approach with new ontological components. (2) Reasoning about uncertain time intervals by extending the Allen’s interval algebra. The resulting interval relations preserve the good properties of the original algebra. (3) Proposing an OWL 2 possibilistic temporal ontology based on 4D-fluents approach extension and Allen’s interval algebra extension. The proposed qualitative temporal relations are inferred via a set of SWRL rules. We validate our work by implementing a prototype based on this ontology. (4) Applying our work to PersonLink ontology and comparing the obtained results with our previous works.

  • [Journal] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Certain and Uncertain Temporal Data Representation and Reasoning in OWL 2. , juillet, 2021, International Journal on Semantic Web and Information Systems (IJSWIS)
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    Abstract

    Temporal data given by Alzheimer's patients are mostly uncertain. Many approaches have been proposed to handle certain temporal data and lack uncertain ones. This paper proposes an approach to represent and reason about quantitative time intervals and points and qualitative relations between them. It is suitable to handle certain and uncertain temporal data. It includes three parts. (1) The authors extend the 4D-fluents approach with certain components to represent certain and uncertain temporal data. (2) They extend the Allen's interval algebra to reason about certain and uncertain time intervals. They adapt these relations to relate a time interval and a time point, and two time points. All relations can be used for temporal reasoning by means of transitivity tables. (3) They propose a certain ontology based on the extensions. A prototype is implemented and integrated into an ontology-based memory prosthesis for Alzheimer's patients to handle uncertain data inputs. The evaluation proves the usefulness of the approach as all the inferences are well established and the precision results are promising.

  • [Journal] Leïla Bayoudhi, Najla Jaziri et Wassim JAZIRI. Towards a Semantic Querying Approach for a Multi-Version OWL 2 DL Ontology. , juillet, 2021, The International Journal of Computer Information Systems and Industrial Management (IJCISIM)
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  • Date de création : 19 Décembre 2012
    MIRADOC 2011 : Journées doctorales du laboratoire Miracl. Décembre 2011. Touzeur , Tunisie
  • Date de création : 19 Décembre 2012
    MIRADOC’2010, Rencontre Doctorale de Miracl Date : 19-22 décembre 2010. Lieu: Douz , Tunisie
  • Date de création : 19 Décembre 2012
    Les 2éme Journées sur les Réseaux Bayésiens et leurs Applications Date et lieu : octobre 2011, Sfax, Tunisie. Abstract The Bayesian Networks are graphical models that are easy to interpret and update. These models are useful if the knowledge is uncertain, but they lack some means to express ambiguity. To face this problem, we propose Fuzzy Evidence in Bayesian Networks and combine the Fuzzy Logic and Bayesian Network. This has allowed to benefit from mutual advantages of these two approaches, and to overcome the problem of data and observation ambiguity. This paper proposes an inference algorithm which uses the Bayesian Network and Fuzzy Logic reliability. This solution has been implemented, tested and evaluated in comparison with the existing methods.
  • Faiez Gargouri, Wassim Jaziri  Ontology Theory, Management and Design: Advanced Tools and Models ». IGI Global. ISBN-978-1-61520-   859-3. Mars 2010. Description Ontologies and formal representations of knowledge are extremely powerful tools for modeling and managing large applications in several domains ranging from knowledge engineering, to data mining, to the semantic web. Ontology Theory, Management and Design: Advanced Tools and Models, explores the wide range of applications for ontologies, while providing a complete view of the both the theory behind the design and the problems posed by the practical development and use of ontologies. This reference presents an in-depth and forward looking analysis of current research, illustrating the importance of this field and pointing toward to the future of knowledge engineering, management and information technology.  
  • Titre : Finite State Language Engineering Autheurs : BEN HAMADOU A., MESFAR S., SILBERZTEIN M.  ISBN : 978-9973-37602-2 Livre, Edition CPU, Tunis, 2010
  • Titre :  Les Systèmes décisionnels : Théorie et pratique Autheurs : BEN-ABDALLAH H., BOULMARKOUL A., BOUSSAID O., FEKI J., GARGOURI F. ISBN : 789973990020. Nombre des pages: 130 pages Livre, Nouha Editions, 2010.