M. BRIK Mourad

MCB

Directory of teachers

Department

BASE COMMON ST Departement ST

Research Interests

informatique

Contact Info

University of M'Sila, Algeria

Email : mourad.brik@univ-msila.dz

On the Web:

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Recent Publications

2024-08-12

Java Language

java language support
Citation

M. BRIK Mourad, (2024-08-12), "Java Language", [national] brik mourad

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2021-03-01

Approche pour l’indexation et l’utilisation des ressources pedagogiques dans un système e-learning pervasif

Le Web sémantique repose sur des langages et une infrastructure dont l’objectif est de se donner la possibilité d’enrichir le Web actuel à l’aide d’informations dites « sémantiques », utilisables par des machines, qui faciliteront la recherche et l’usage de ressources Web (pages Web, images, services, etc.). Il s’agit donc d’associer à ces dernières des informations structurées descriptives sous la forme de métadonnées (ou annotations). Plusieurs dimensions sont alors à considérer : les types de ressources, plus ou moins fragmentées, concernées par les annotations / métadonnées; l’automatisation plus ou moins marquée de la mise en place de ces dernières, la structuration plus ou moins forte de leur « schéma », les tâches qu’elles soutiennent (ou soustendent), ou encore l’utilisation plus ou moins « intelligente » qui en est faite par les agents logiciels. Dans ce mémoire, on a proposé une solution basée sur quatre ontologies et des métadonnées sémantiques pour créer et annoter des ressources pédagogiques. Ces ressources doivent pallier les limites des objets d’apprentissage existants, car elles disposent d’une couche de connaissances relatives aux utilisateurs, à la pédagogie et au domaine.
Citation

M. BRIK Mourad, (2021-03-01), "Approche pour l’indexation et l’utilisation des ressources pedagogiques dans un système e-learning pervasif", [national] université setif

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2020

Contextual Information Retrieval within Recommender System: Case Study "E-learning System"

his paper focuses on monitoring and analyzing user activities on collaborative filtering -based recommender system in order to guess suitable and unsuitable items' context information using rating matrix which makes more efficient adaptation task. An ontology-based user profile and rules-based context modeling for reasoning about context information is proposed in this research work, in addition to an investigation to apply Semantic Web technologies in user modeling and context reasoning. This proposal is applied in education field in which we have designed an authoring tool for learning objects within ubiquitous environment. This system aims to improve the learning object production task (creation, review, edition…) on behalf of technologies offered by collaborative filtering systems as well as user behaviors monitoring to improve the recommendation process.
Citation

M. BRIK Mourad, (2020), "Contextual Information Retrieval within Recommender System: Case Study "E-learning System"", [national] TEM JOURNAL , UIKTEN - Association for Information Communication

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2014-01-02

Towards an ontology for UML state machines

Abstract—Ontology is a conceptual model that is used to
represent the concepts in a domain and relationship between
the concepts. It can be used for sharing and reuse of knowledge
that allows humans and machines to exchange diverse
information. UML state machines used to describe the behavior
of a software systems. This article aims at to provide a solution
for representing UML state machine model as an ontology
expressed in OWL. a method proposed is a conceptualization of
UML state machine and its operation, in order to check its
consistency and its conformity. we chose OWL to represent
formally our state machine augmented with SWRL rules to
represent the dynamic aspect of the operation system and
SPARQL to query our ontology
Citation

M. BRIK Mourad, (2014-01-02), "Towards an ontology for UML state machines", [national] Lecture Notes on Software Engineering , Lecture Notes on Software Engineering

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