• [Conférence intertnationale] Zied Trifa, Maher Khemakhem et Jalel Eddine Hajlaoui. Pollution Attacks indentification in Structured P2P Overlay Networks. The 19th International Conference on Information and Communications Security (ICICS 2017), decembre, 2017, Chine
  • [Conférence intertnationale] Zied Trifa et Maher Khemakhem. A Framework for Monitoring and Mitigating Malicious Attacks in Structured P2P Overlay Networks. 14th ACS/IEEE International Conference on Computer Systems and Applications, novembre, 2017
  • [Conférence intertnationale] Mariem Mahfoudh , Bikash Gyawali, Anastasiya Shimorina, Claire Gardent et Samuel Cruz-Lara. Mapping Natural Language to Description Logic. Extended Semantic Web Conference, juin, 2017, pages 273-288, Slovénie
  • [Journal] Ahlem Kalaï, Corinne Amel Zayani, Ikram Amous Ben Amor, Abdelghani Wafa et Florence Sèdes. Social collaborative service recommendation approach based on user’s trust and domain-specific expertise. , mai, 2017, Future Generation Computer Systems (FGCS)(2016, IF=3.997)

    A few years ago, the Internet of (Web) Service vision came to offer services to all aspects of life and business. The increasing number of Web services make service recommendation a directive research to help users discover services. Furthermore, the rapid development of social network has accelerated the development of social recommendation approach to avoid the data sparsity and cold-start problems that are not treated very well in the collaborative filtering approach. On the one hand, the pervasive use of the social media provides a big social information about the users (e.g., personnel data, social activities, relationships). Hence, the use of trust relation becomes a necessity to filter and select only the useful information. Several trust-aware service recommender systems have been proposed in literature but they do not consider the time in trust level detection among users. On the other hand, in the reality, the majority of users prefer the advice not only of their trusted friends but also their expertise in some domain-specific. In fact, the taking into account of user’s expertise in recommendation step can resolve the user’s disorientation problem. For these reasons, we present, in this paper, a Web service decentralized discovery approach which is based on two complementary mechanisms. The trust detection is the first mechanism to detect the social trust level among users. This level is defined in terms of the users’ interactions for a period of time and their interest similarity which are inferred from their social profiles. The service recommendation is the second mechanism which combines the social and collaborative approaches to recommend to the active user the appropriate services according to the expertise level of his most trustworthy friends. This level is extracted from the friends’ past invocation histories according to the domain-specific which is known in advance in the target user’s query. Performance evaluation shows that each proposed mechanism achieves good results. The proposed Level of social Trust (LoT) metric gives better precision more than 50% by comparing with the same metric without taking into account the time factor. The proposed service recommendation mechanism which based on the trust and the domain-specific expertise gives, firstly, a RMSE value lower than other trust-aware recommender systems like TidalTrust, MoleTrust and TrustWalker. Secondly, it provides a better response rate than the recommendation mechanism which based only on trust with a difference equal to 4%.

  • [Journal] Mohamed Ben Aouicha, Mohamed Ali Hadj Taieb et Abdelmajid Ben Hamadou. System for Integrating Semantic Relatedness and similarity. , mars , 2017, Soft Computing
  • [Journal] Mariem Haoues, Asma Sellami et Hanêne Ben Abdallah. Functional change impact analysis in use cases: An approach based on COSMIC functional size measurement. , janvier, 2017, Science of Computer Programming, Special Issue on Advances in Software Measurement

    Context: Because functional changes are inevitable throughout the software life-cycle, it is essential to assess and evaluate whether a Functional Change (FC) can be handled within the estimated project budget and time. Thus, a well-defined change measure and control process is vital for the success of the development project. In fact, the size measurement is widely used for effort and cost estimation. This paper explores the COSMIC Functional Size Measurement (FSM) method to evaluate a FC.

    Objective: The objective of this paper is to assess a FC in terms of COSMIC Function Point units in order to identify changes incurring potential impact on the software development progress. Thus, we suppose that the functional size of a FC is one of the factors that must be taken into consideration to analyze the impact of changes on the development progress. This helps managers in making decisions to answer a FC request.

    Method: The method proposed in this paper analyzes the FC impact in use case diagrams, the de-facto standard for modeling the Functional User Requirements (FUR). It distinguishes between internal and external FC to a use case. It proposes to quantify the FC impact on the functional size of a use case diagram in terms of COSMIC Function Point (CFP) units. In addition, it evaluates the status of a FC according to its functional size. Furthermore, we propose an algorithm for prioritizing changes in the case where more than one functional change is proposed. The algorithm is based on a set of heuristics where the objective is to minimize the effort required to answer the changes. It accounts for the most important factors when prioritizing changes (the functional size of the FC, and the preference of the change requester). These two factors are identified based on an investigation with the international COSMIC community.

    Originality: Several techniques have been used to identify and analyze the impact of a FC during various phases of the software life-cycle. For example, some researches used the colored commit graphs (at the implementation phase), other studies used the consistency rules between UML diagrams (at the design phase), etc. Compared to other approaches focused on impact change analysis, our proposed approach uses the COSMIC-FSM method. Quantifying the functional size of a FC in terms of CFP units allows us to evaluate more realistically the impact of a FC on the software development progress.

    Results: We propose six categories of FC status according to their sizes. Based on the FC status, it is possible to identify the FC impact on the software development progress. The FC status will help not only designers/developers in analyzing the impact of FC on the size of their work products but also managers to decide to accept or forgo a FC and maintain the development schedule. Moreover, the experiment conducted with 30 computer engineering students showed that students' ratings can be approximately evaluated when measuring FUR in terms of CFP units based on the FC status.

    Conclusion: Based on the finding of this study, it is now feasible to identify FC leading to potential impact on the software development progress. More specifically, evaluating FC in the use case diagrams will help in making quick decisions about accepting or rejecting a FC. Regardless of the used software life-cycle process, use cases are popular for specifying the software functionality. In practice, our proposed approach is applicable not only in the software development industry but also in academia.

  • [Conférence intertnationale] Abir Tourdi, Corinne Amel Zayani, Salma Jammoussi et Ikram Amous Ben Amor. A New Social Media Mashup Approach. International Conference on Intelligent Systems Design and Applications (ISDA), decembre, 2016, Porto, Portugal
    Social media present a way to discover, report and share different types of events. For this reason, they are considered as a dynamic source of information which enables individuals to stay informed of all real-world events. This specificity encourages researchers to propose methods and approaches to detect events from social media. However many researchers are faced by divers challenges. This is due to the noise of data within the social media. In this paper, we propose a new approach for data retrieval and event detection, which differs from the previous ones by using the mashup concept. The proposed approach is able on the one hand to retrieve data from various social medias which have different structures. On the other hand, our approach aim to detect events with three main dimensions such as the topic, the time and the location.
  • [Conférence intertnationale] Hanen Abbes et Faiez Gargouri. M2Onto: an Approach and a Tool to Learn OWL Ontology from MongoDB Database. ISDA, decembre, 2016, 612-621, Porto, Portugal

    Ontologies provide shared and reusable pieces of knowledge about a specific domain. Building an ontology by hand is a very hard and prone to er-rors task. Ontology learning from existing resources provides a good solution to this issue. Databases are widely used to store data. They were often considered as the most reliable sources for knowledge extraction. NOSQL databases are more and more used to store data. MongoDB database is emerging as the fastest growing NOSQL database in the world. It belongs to the document oriented da-tabases variant. This paper proposes an approach to learn OWL ontology from data in MongoDB database and describes a tool implementing transformation rules.

  • [Conférence intertnationale] Hanen Abbes et Faiez Gargouri. Structure based Modular Ontologies Composition. AICCSA, decembre, 2016, Agadir, Maroc

    Ontologies are the main component of the semantic Web. Constructing large ontologies typically requires to reuse previously existing ones. Modularity is a key requirement for collaborative ontology engineering and for distributed ontology reuse on the Web. In this paper, we propose an approach to automatically compose ontology modules into a global ontology. Our approach is based on similarity measures computed against concept names, attributes and relationships. We also detail the algorithm allowing to merge the ontology modules into a global ontology.

  • [Conférence intertnationale] Leila Ghorbel, Corinne Amel Zayani, Ikram Amous Ben Amor et Florence Sèdes. Learner's Pro le Hierarchization in an Interoperable Education System. International Conference on Intelligent Systems Design and Applications (ISDA), decembre, 2016, Portugal
    In recent years, several education systems have been developed. Consequently, each learner can have di fferent pro files which each one is related to a system. Each profi le can be completed and enriched by the data coming from the other profi les in order to return results reflecting the learner's need. The profi le enrichment requires the establishment of an interoperable system which i) resolves the problem of learner's profi le heterogeneity based on a matching process and ii) integrates the data in the diff erent profi les based on a data fusion process. The data fusion approaches mainly aim at resolving the conficts occurring in the data values. They are based on non organized pro les which may produce inconsistent results. The profi le organization is done either by using the machine learning techniques or the notion of temperature. In this paper, we propose a new data fusion approach to improve the conflict resolution by organized profi les. Each profi le is organized by respectively merging a clustering algorithm and the temperature and by taking into account the data semantic relationship.
  • 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.