• [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] Leila 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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  • [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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  • [Conférence intertnationale] Leila Bayoudhi, Najla Jaziri et Wassim JAZIRI. A Survey On Versioning Approaches and Tools.. 20th International Conference on Intelligent Systems Design and Applications (ISDA 2020), decembre, 2020
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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
  • [Conférence intertnationale] Nouha Dammak. Abstractive meeting speech summarization based on an attentional model. Thirteenth International Conference on Machine Vision, novembre, 2020, Rome, Italie
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    Abstract
    Through the ages, in all nations, at all times, people spend a lot of their time on discussing new and important issues
    either on meetings or in conferences. With the evolution and the abundance of Automatic Speech Recognition (ASR)
    frameworks, automatic transcripts and even automatic meeting summarization are getting more and more interesting.
    Recently, automatic summarization faces deeper progresses on speech summarization. Neural models had been
    introduced to tackle with many difficulties of abstractive summarization. Our contribution in this paper focuses on these
    weaknesses of neural abstractive meeting summarization and suggests an encoder-decoder model based on an attentional
    algorithm on the decoding sequence. We proposed a deep encoder-decoder model based on attention mechanism
    (DEDA) for ASR transcripts. Experiments on the AMI Dataset demonstrates that our proposed method ensured
    competitive results with the state of the art even on extractive or abstractive models. The experimental analyses also put
    the stress on the performance of the summarized utterances as well as the reduction of the occurrence repetition in
    summaries.
  • [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
  • 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.