• [Conférence intertnationale] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Dealing with Uncertain and Imprecise Time Intervals in OWL2: A Possibility Theory-Based Approach. International Conference on Research Challenges in Information Science RCIS 2021, mai, 2021, Chypre
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  • [Proceeding] Nassira Achich. Dealing with Data Imperfection in OWL 2 - Application to Alzheimer’s patients Software. ISWC DC (Doctoral Consortuim), novembre, 2020, Phd Symposium, Athens, Grèce
  • [Journal] Houssem Lahiani et Mahmoud Néji. Hand pose estimation system based on combined features for mobile devices. , septembre, 2020
  • [Conférence intertnationale] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. Approach to Reasoning about Uncertain Temporal Data in OWL 2. KES, septembre, 2020, Verona, Italie
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    Abstract

    In this paper, we propose an ontology-based approach for representing and reasoning about certain and uncertain temporal data. It handles temporal data in terms of quantitative time intervals and points and the qualitative relations between them (e.g., “before”). It includes three parts. (1) We extend the 4D-fluents approach with certain ontological components to represent the handled temporal data in OWL 2. (2) We extend the Allen’s interval algebra to reason about certain and uncertain time intervals. We adapt these relations to allow relating 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) The extended Allen’s algebra instantiates the 4D-fluents-based representation. Inferences are based on SWRL rules. Based on this ontology, a prototype is implemented and integrated into an ontology-based memory prosthesis for Alzheimer’s patients to handle certain and uncertain temporal data inputs.

  • [Conférence intertnationale] Abir Boujelbène et Ikram Amous Ben Amor. Refining Rule Bases for Intelligent Systems: Managing Redundancy and Circularity. Bis 2020, juin, 2020, Colarado, Etats-Unis
  • [Journal] Abir Boujelbène et Ikram Amous Ben Amor. RuDES: A Semantic Method for Rules Dependency Extraction. , mars , 2020, Computación y Sistemas, 2020
  • [Journal] Leila Ghorbel, Corinne Amel Zayani, Ikram Amous Ben Amor et Imen Boutouria. A Probabilistic Profile Reliability Approach to Improve the Richness of User's Interests Based on Social Information. Computacion y Sistemas, mars , 2020
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  • [Conférence intertnationale] Nouha Dammak et Yassine Ben Ayed. Histogram based Method for Unsupervised Meeting Speech Summarization. International Conference on Intelligent Systems Design and Applications, decembre, 2019, Afrique du Sud
  • [Journal] Abir Boujelbène et Ikram Amous Ben Amor. A method to assist in the proper management of rule bases in Web information systems. , octobre, 2019, International Journal of Web Information Systems
  • [Conférence intertnationale] Nassira Achich, Fatma Ghorbel, Fayçal Hamdi, Elisabeth Métais et Faiez Gargouri. A Typology of Temporal Data Imperfection. KEOD, octobre, 2019, Autriche
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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.