SlideShare a Scribd company logo
1 of 6
Download to read offline
IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 3, Ver. V (May – Jun. 2015), PP 11-16
www.iosrjournals.org
DOI: 10.9790/0661-17351116 www.iosrjournals.org 11 | Page
Towards a new ontology of the Moroccan Post-baccalaureate
learner profile for the E-orientation system “MMSyOrientation”
Fatima Zahra Guerss1*
, Mohammed Aitdaoud2
, Khadija Douzi1
, Kamal El
Guemmat2
, Abdelouahed NAMIR2
, Mohammed Talbi2
1
(LIM, Université Hassan-II, Faculté des sciences et techniques Mohammedia, Morocco)
2
( LTIM, Université Hassan-II, Faculté des sciences Ben-M'sik, Morocco)
Abstract: Today E-orientation systems are interested in helping learners to choose a suitable branch to their
skills and preferences. In this context the research center within the University Hassan II Mohammedia Ain-
Chock announced the appearance of MMSyOrientation project. This project focuses on the orientation of
Moroccan student’s education as a concern and a family, social, and political preoccupation. The student
remains an educational system focus center, especially at the MMSyOrientationi
project level, which requires
suggesting a feasible model for this major actor. Thus we should refer to users’ models specifically learners’
profiles, which deal with these outlines in the EIAH domain (it environments for human learning). These models
are generic and not dedicated to the academic E-Orientation systems. The purpose of this article is to propose a
direction model to the student on the most appropriate way of their profile. In this context we could implement
an ontology entitled (Onto E-orientation) to an E-orientation Moroccan system representing different ways of
information on such learning, using OWL language.
Keywords: E-Orientation, MMSyOrientation, EIAH, User model, learner profile, Ontology.
I. Introduction
For a long time, the orientation system has been interested in helping people to make their choice. This
is done by using counselors’ guidance who knows as many details about the teaching field to help students to
choose a right way in terms of career.
With the advent of information technology and communication for teaching (TICE), the actors in this
area thought to adapt this concept to the current time, implementing a new concept called E-orientation, which is
interested in automating the orientation task thanks to Information Technology (IT). While liberating the
counselors so that they will be interested in other complicated tasks requiring human intervention. However, the
realization of an E-Orientation system has exposed several constraints and problems. On the one hand the
modeling of a student profile (personal, psychic information, learning styles, etc ...) and on the other hand the
adaptation of the profile to one or more suitable choices.
According to our humble knowledge, representation models of the existing learner profile are generic
and are not dedicated for academic E-Orientation systems.
This paper presents a new model that is specific to Moroccan academic E-Orientation systems, and
overcoming the limitations cited above.
Currently ontology constitute an innovative solution for the representation of shared knowledge [1].
The proposed model is ontological, implemented and ready for later use in the E-Orientation system
which is the MMSyOrientation Hassan II University project between Laboratory of Computer Mohammedia
(LIM), Information Technology and Modeling Laboratory (LTIM), Laboratory for Analysis Modeling and
Simulation (LAMS), and Department of Mathematics Cryptography and Mechanical (LMCM).
In this article, we define the modeling issues of the learner’s profile in chapter 2, our contribution in the
domain will be presented in Chapter 3, the implementation of the ontology is described in Chapter 4, and
Chapter 5 is the latest to close and define our perspectives.
II. The learner’s profile modeling
There are several representations of the learner’s Profile models [2]. The rest of this section provides a
global vision on the various most pertinent models in the literature.
1. AHAM
AHAM [3] is a very general model used to describe the adaptive hypermedia systems (SHA) for
teaching, online help, System Information (SI) online, etc… This model divides the SHA in three layers which
are interconnected between them:
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the ….
DOI: 10.9790/0661-17351116 www.iosrjournals.org 12 | Page
 The model storage layer is a set of nodes and links. This layer is organized into three components which are
the domain model, the learner’s model, and the adaptation model.
o The domain model shows the hypermedia application area as seen by the authors
o The user model contains pertinent information on the user utilized for adaptation.
o The adaptation model collects rules that are used for adapting hypermedia by combining the information on
the domain model and the user model.
 The "content components" layer specifies the content and structure of the nodes. The adaptation of the
hypermedia is performed by the adaptation engine forming part of the "Specification of presentation"
interface.
 The execution layer.
2. Munich
The Munich model [3] is a very general model that is not only used for educational SHA but also for
other types of SHA [3]. This model was developed independently of the AHAM model. The major supply of
this model is that it uses a graphical language for describing the various components of a SHA. The layered
architecture has been replaced by a UML package diagram and description of the user model, domain and
adaptation was illustrated by UML class diagrams. These diagrams are also used to describe the various features
that are offered by the three models.
3. ALEM
This model is called ALEM (Adaptive Learning Environment Model) [4] and is an extension of the
Munich model. This model contains the same three existing layers in the Munich model; it extends their
functionality for better modeling of educational systems and includes an additional layer that is educational
layer.
The different layers of ALEM model are:
 The component content layer: contains the content and structure of hypermedia nodes and it also serves to
isolate the other layers specific details to the media;
 The storage layer: stores information about the structure of the hypermedia. This layer is composed of three
meta models:
o Meta domain model describing the scope of hypermedia;
o The meta learner model describing the characteristics of useful learning for customization of hyperspace;
o The meta model describing the adaptation strategies and adaptation rules.
 The educational film is an abstract representation of the course. This layer contains the course of the
structuring model;
 The execution layer is the description of how the presentation of nodes. This layer is responsible for
interacting with the learner, the acquisition of learner data and session management.
4. INT
The user model INT [5] is a triplet: <learner, preference, knowledge>:
 Learner is the ID of the user.
 The user preferences match to their language or their favorite presentation. Each element of the set of
preferences is represented by a pair <attribute, value>.
 The user's knowledge is represented by triples of the form: <domainConcept, role, educationalState>.
5. Comparison between models
The Munich and AHAM models are very similar. Munich and ALEM model the SHA from the
viewpoint of the approach "object-oriented". However, AHAM models the SHA from the perspective of the
"database" approach.
All of these reference models represent the personal and educational information of the learner
generically. Whereas, these models are not dedicated to the education system especially the E-Orientation
systems. On the one hand there are many limitations in the psychic and stylistic modeling of the student profile,
and on the other hand the adaptation of profile to one or more appropriate choices.
It is in this context that we will propose in the next chapter a new specific model for E-orientation
systems specifically MMSyOrientation system.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the ….
DOI: 10.9790/0661-17351116 www.iosrjournals.org 13 | Page
III. The ontology of the Moroccan Post-baccalaureate student profile for the
E-guidance system MMSyOrientation
In this section, we will describe the evolution of our former ontology orientation into two sub-
components:
1. Former Onto
Our former ontology [6] is described as follows:
- Guidance is a set of branch (component).
- A branch can be either a coaching or mentoring, or either a portfolio or an ePortfolio.
- A coaching can be either a process or a technic, a guide, a video, or an exercise ...
- Tutoring can be a course, exercise, control, test, ...
- A portfolio is a document, a folder, a file, an archive, a collection of the work, a personal paper, a reference
letters, certificates, report cards, photocopies in which learning outcomes and achievements of the
experience of a person are defined and demonstrated based on skills, knowledge, attitudes and behaviors.
- An ePortfolio is an ebook, a picture, a video, a database, etc…
The orientation can be done either by coaching, tutoring, portfolio or ePortfolio.
 Coaching has a process or more, using at least one technic, provides a guide or more, is used as support
video.
 Tutoring owns courses, uses exercises, contains controls, supports testing.
 The portfolio has documents, uses archives, contains folders, supports files.
 The ePortfolio has ebooks, uses databases, contains images, supports videos.
We found out that our former ontology has limitations which reside in:
- Orientation was considered as a concept, and not as a domain.
- The learner’s model was not processed to generate a knowledge model.
2. Towards a new pedagogical orientation ontology for the system « onto E-orientation »
The domain ontology orientation system E-orientation (Onto E-orientation) is based on an ex-Ontology
[6] we have developed. The latter is limited vis-a-vis the domain.
We specified the need of the orientation domain as follows:
 Knowledge area: academic and career orientation
 Objective: Using Onto E-orientation in the context of meeting the needs of MMSyOrientation project for
remote position or orientation of electronic E-orientation to facilitate the Moroccan educational orientation
task.
 Users: Learners, post-baccalaureate, trainers, parents, counselors,etc…
 Sources of information: All documents that are interested in the field of university and career orientation.
 Scope of ontology: Testing, presentations, courses, videos, etc…
The new ontology enriches both concepts that will be treated in the following section.
2.1 Learner’s Profile:
The new ontology (Onto E-orientation) details the concept of learner’s profile that is among the main
elements for the proper practice of educational orientation field. The learner’s profile is a specialization of
templates that users must be well modeled. [7]
This concept has not been well analyzed in our former ontology to provide E-orientation systems,
guidance or adequate recommendation to the required profile.
Several studies have provided solutions based on ontologies to describe user profiles, among them
dealing specifically with the presentation styles (learning preferences) .The model [8] proposes an ontology of
the learning profile with different characteristics one user, basic concepts, as concepts and relationships between
various concepts. It describes a learner in 4 aspects as abstract concepts in the ontology:
According to Zayani [9] and Behaz [8] we have enriched our former ontology and precisely the learner
profile model
We use a user model that describes the structure of each learner's profile. The latter has two types of
characters [10], [11]:
- The permanent characteristics remain fixed in time. These features are provided by the user's (questionnaire
or form) and introduce the user identity, demographics data etc…
- The evolutionary characteristics change over time. Generally, these features are not used and updated by
observing the behavior of the user.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the ….
DOI: 10.9790/0661-17351116 www.iosrjournals.org 14 | Page
Moreover, [13] considers a user's profile is composed by:
- A set of permanent features' CharacPermanent '.
- A set of evolutionary characteristics 'CharacEvolutif' 'that may have one or more items' 'Item'. Each item
can integrate identified user's needs in its applications and depend on another item.
2.2 Orientation :
Given the importance of the orientation process defined below, according to Guerss.F & Aitdaoud.M
[6], we could deduce an adequate orientation process E-orientation system following its steps:
Figure 1: Process of orientation
These steps will try to give a motivation to the post-baccalaureate especially in the course selection.
In addition, we could extend the concept of orientation [6] to all actors that have an impact on it,
dealing with the psychological, social and educational side in the pedagogical choice. The second part will detail
this domain.
IV. Implementation
In this section, we will start by describing any of the glossary concepts and glossary orientation
relations domain concepts and then by making the implementation of ontology 'Onto E-orientation "using the
Protégé tool [12].
1. Glossary of the dictionnary concepts:
This part focuses on building of a dictionary of concepts. Each concept is assigned an identifier
"iDConcept" which describes the properties that characterize it. The table below shows that.
Table 1: Glossary of the concepts
Name Attributes Relations Synonyms
Person Idperson Has Individual
Section Idsection Has section or branch of study
counselor Idcounselor Has psychological accompagnement
Parents Idparents Has father, mother of the studiant
Profil Idprofil Has cognitive characteristics of a student
Characevolutif Idcharacevolutif Has evolving Characterics of a student
Capacity Idcapacity Has acquistion Capacity of a student
Cptpedagogical COD-requis Has Knowlege acquired from pedagogical learning
cptprofessionnal COD_Cpt Has Knowlege acquired from professional learning
Diploma COD_DIP Obtain
Result
Holder of a given level
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the ….
DOI: 10.9790/0661-17351116 www.iosrjournals.org 15 | Page
Included
require
taken in
Domain COD_domain neccesitates Sector
Level Idlevel Result Degree ou value attained in a domain
Caracpermanant Idcaracpermanant Has permanant charactèristics of a student
…
2. Glossary of attributes dictionnary
The next task is the construction of the attribute chart which contains a precise description of the
attributes of the concept dictionary, and the set of limits and constraints on these values. The table below shows
an extract of the attribute chart.
Table 2 : glossary of attributes
Name Type Default Value
Idperson Varchar2[10] Idperson
Iddepartement Varchar2[10] Iddepartement
Idsection Varchar2[10] Idsection
Idcounselor Varchar2[10] idcounselor
Idparents Varchar2[10] Idparents
Idprofile Varchar2[10] Idprofile
Idcharacevolving Varchar2[10] Idcharacevolving
Idcapacity Varchar2[10] Idcapacity
COD-requis Int COD-requis
LIB_requis Varchar2[60] LIB_requis
COD_Cpt Int COD_Cpt
LIB_cmp Varchar2[60] LIB_cmp
COD_DIP Varchar2[7] COD_DIP
LIB_DIP Varchar2[60] LIB_DIP
LIB_DIP_ARB Varchar2[60] LIB_DIP_ARB
LIC_DIP Varchar2[25] LIC_DIP
LIC_DIP_ARB Varchar2[25] LIC_DIP_ARB
Sector_Disciplinary Varchar2[20] Sector_Disciplinary
……. ………. ……..
3. Glossairy of relations
The last task is the construction of the relationship table for each relationship we define the relation
name, the main and targets concepts names and their cardinalities.
The table below shows an excerpt from the relationship table.
Table 3 : relations table
Relation name Principal
concept
Targeted concept principal Card Targeted Card
Sharing Student Hobby 1.1 0.*
Taken in Diploma Establissement 0.* 1.1
Require Diploma CptPedagogical 1.1 1.*
Included Diploma Nature_Diploma 1.1 1.1
Result Diploma Level 1.1 1.1
Obtain Student Diploma 1.1 0.*
Neccessitite Domain CptProfessionnel 1.1 1.*
Mastering student Language 1.1 0.*
Makes Student Training 1.1 0.*
…..
4. Implementation of Onto E-orientation
The figure below shows our ontology (Onto E-orientation) implemented under the software Protégé
2000 v4.3.0.
Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the ….
DOI: 10.9790/0661-17351116 www.iosrjournals.org 16 | Page
Figure 2 : orientation ontology domain (Onto E-orientation)
V. Conclusion and perceptives
In the project context MMSyOrientation, we proposed a new ontology of the Moroccan Post-
baccalaureate learner’s profile for an E-orientation system.
This ontology represents the learner in two permanent and evolving characters.
Our new ontology will be used in this system to orientate new students according to their educational,
stylistic and psychological profiles.
We have to prepare a knowledge base combining such a profile to adequate section.
Then studying to ensure that the courses offered by our system are adequate according to the notes that
will be obtained by students
References
[1]. Dehors S. « QBLS : web sémantique de formation pour un apprentissage par questionnement», EIAH Montpellier 2005.
[2]. Razmerita, L., User modeling and personalization of the Knowledge Management Systems,book chapter,in Adaptable and Adaptive Hypermedia, by
Idea Group Publishing, 2005.
[3]. De Bra P., Nejdl W., « Adaptive Hypermedia and Adaptive Web-Based Systems », Third International Conference, AH 2004, Eindhoven, The
Netherlands, August 23- 26, 2004.
[4]. Mohammed TADLAOUI, Azzedine CHIKH, Karim Bouamrane1, ALEM: Un Modèle de Référence pour les Applications Web Adaptatif Educatif,
In: LEAFA 2010 The First International Conference on e-Learning For All, 3-5 June 2010 , Hammamet, Tunisia.
[5]. Duitama F., Defude B., Bouzeghoub A., and Carpentier C., « A framework for the generation of adaptive courses based on semantic metadata »,
Multimedia Tools and Applications, 2005.
[6]. Guerss Fatima zahra & Aitdaoud Mohammed, Douzi Khadija, Talbi Mohammed, Namir Abdelouahed «Towards a computerized system of
pedagogical orientation to succeed in Morocco university», 4th WORLD CONFERENCE ON EDUCATIONAL SCIENCES, WCES- 2014
[7]. Truong, H. P., & Jean-Daubias, S. (2010). «Opérateurs et fonctions de transformation de profils d’apprenant sous forme de services web», Résumé
[8]. Zayani, C., Sedes, F., Peninou, A., Canut, M.-F., Amous, I.: «Interrogation de documents semi-structurés: extensions basées sur l’adaptation
l’utilisateur », In: INFORSID, Hammamet - Tunisie, 1-03 juin 06, pp. 97–112. Hermés Science Publications (June 2006)
[9]. Behaz, A., & Djoudi, M. «Approche de Modélisation d'un Apprenant à base d'Ontologie pour un Hypermédia adaptatif Pédagogique», In CIIA,2009
[10]. Kobsa A.,and Koenemann, J., and Pohl, W. « Personalized Hypermedia PResentation Techniques for Improving Online Customer Relationships », in
The Knowledge Engineering Review, 16(2), 2001, p.111-155
[11]. Brusilovsky P. «Adaptive hypermedia», User Modeling and User-Adapted Interaction (1:2), November 2001, p.87-110
[12]. Protégé 2000 [online].Available : protege.stanford.edu/
i
Meta Modeling for Orientation (guidance) System at a distance opened

More Related Content

What's hot

An effective method for semi automatic construction of domain module from ele...
An effective method for semi automatic construction of domain module from ele...An effective method for semi automatic construction of domain module from ele...
An effective method for semi automatic construction of domain module from ele...
eSAT Journals
 

What's hot (16)

My thesis proposal
My thesis proposalMy thesis proposal
My thesis proposal
 
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
IRJET- Personalized E-Learning using Learner’s Capability Score (LCS)
 
Development of Intelligent Alumni Management System for Universities
Development of Intelligent Alumni Management System for Universities Development of Intelligent Alumni Management System for Universities
Development of Intelligent Alumni Management System for Universities
 
An effective method for semi automatic construction of domain module from ele...
An effective method for semi automatic construction of domain module from ele...An effective method for semi automatic construction of domain module from ele...
An effective method for semi automatic construction of domain module from ele...
 
aSSIGNMENT
aSSIGNMENTaSSIGNMENT
aSSIGNMENT
 
F03403031040
F03403031040F03403031040
F03403031040
 
Attendance monitoring system
Attendance monitoring systemAttendance monitoring system
Attendance monitoring system
 
Transformation of WSDL files using ETL in the E-orientation domain
Transformation of WSDL files using ETL in the E-orientation domain Transformation of WSDL files using ETL in the E-orientation domain
Transformation of WSDL files using ETL in the E-orientation domain
 
Design an expert system for students graduation projects in Iraq universities...
Design an expert system for students graduation projects in Iraq universities...Design an expert system for students graduation projects in Iraq universities...
Design an expert system for students graduation projects in Iraq universities...
 
IRJET- Student Performance Analysis System for Higher Secondary Education
IRJET- Student Performance Analysis System for Higher Secondary EducationIRJET- Student Performance Analysis System for Higher Secondary Education
IRJET- Student Performance Analysis System for Higher Secondary Education
 
1728 1(1)
1728 1(1)1728 1(1)
1728 1(1)
 
Multiagent system for scrutiny of
Multiagent system for scrutiny ofMultiagent system for scrutiny of
Multiagent system for scrutiny of
 
E learning
E learningE learning
E learning
 
Introduction
IntroductionIntroduction
Introduction
 
En cours-2013-lmeca2732
En cours-2013-lmeca2732En cours-2013-lmeca2732
En cours-2013-lmeca2732
 
50120130405003
5012013040500350120130405003
50120130405003
 

Viewers also liked

Viewers also liked (20)

E1303012733
E1303012733E1303012733
E1303012733
 
M010629597
M010629597M010629597
M010629597
 
H1303065861
H1303065861H1303065861
H1303065861
 
F012623642
F012623642F012623642
F012623642
 
L1304028190
L1304028190L1304028190
L1304028190
 
R130402114121
R130402114121R130402114121
R130402114121
 
G012534551
G012534551G012534551
G012534551
 
E0812730
E0812730E0812730
E0812730
 
Perception of Economic and Environmental Impact of Christmas Festival/Calabar...
Perception of Economic and Environmental Impact of Christmas Festival/Calabar...Perception of Economic and Environmental Impact of Christmas Festival/Calabar...
Perception of Economic and Environmental Impact of Christmas Festival/Calabar...
 
Effect of yogic practices on Static & Dynamic flexibility of College Student
Effect of yogic practices on Static & Dynamic flexibility of College StudentEffect of yogic practices on Static & Dynamic flexibility of College Student
Effect of yogic practices on Static & Dynamic flexibility of College Student
 
Structural analysis of multiplate clutch
Structural analysis of multiplate clutchStructural analysis of multiplate clutch
Structural analysis of multiplate clutch
 
D017372538
D017372538D017372538
D017372538
 
Simulation of Signals with Field Signal Simulator
Simulation of Signals with Field Signal SimulatorSimulation of Signals with Field Signal Simulator
Simulation of Signals with Field Signal Simulator
 
A012660105
A012660105A012660105
A012660105
 
I1302035763
I1302035763I1302035763
I1302035763
 
D012522433
D012522433D012522433
D012522433
 
E017252831
E017252831E017252831
E017252831
 
D011112432
D011112432D011112432
D011112432
 
Peak to Average Power Ratio Reduction in Mc Cdma System by Using Pulse Shapin...
Peak to Average Power Ratio Reduction in Mc Cdma System by Using Pulse Shapin...Peak to Average Power Ratio Reduction in Mc Cdma System by Using Pulse Shapin...
Peak to Average Power Ratio Reduction in Mc Cdma System by Using Pulse Shapin...
 
Designing and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM SystemDesigning and Performance Evaluation of 64 QAM OFDM System
Designing and Performance Evaluation of 64 QAM OFDM System
 

Similar to C017351116

Kalvi: An Adaptive Tamil m-Learning System paper
Kalvi: An Adaptive Tamil m-Learning System paperKalvi: An Adaptive Tamil m-Learning System paper
Kalvi: An Adaptive Tamil m-Learning System paper
arivolit
 
Nabila__proposal4.doc
Nabila__proposal4.docNabila__proposal4.doc
Nabila__proposal4.doc
butest
 
Matching User Preferences with Learning Objects in Model Based on Semantic We...
Matching User Preferences with Learning Objects in Model Based on Semantic We...Matching User Preferences with Learning Objects in Model Based on Semantic We...
Matching User Preferences with Learning Objects in Model Based on Semantic We...
International Journal of Engineering Inventions www.ijeijournal.com
 
Applying Semantic Web Technologies to Services of e-learning System
Applying Semantic Web Technologies to Services of e-learning SystemApplying Semantic Web Technologies to Services of e-learning System
Applying Semantic Web Technologies to Services of e-learning System
International Journal of Engineering Inventions www.ijeijournal.com
 
E-Learning
E-LearningE-Learning
E-Learning
doba2007
 

Similar to C017351116 (20)

Ijcet 06 09_003
Ijcet 06 09_003Ijcet 06 09_003
Ijcet 06 09_003
 
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
Semantically Enchanced Personalised Adaptive E-Learning for General and Dysle...
 
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIES
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIESADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIES
ADAPTIVE LEARNING MANAGEMENT SYSTEM USING SEMANTIC WEB TECHNOLOGIES
 
Adaptive Learning Management System Using Semantic Web Technologies
Adaptive Learning Management System Using Semantic Web Technologies Adaptive Learning Management System Using Semantic Web Technologies
Adaptive Learning Management System Using Semantic Web Technologies
 
ICWL 2009
ICWL 2009ICWL 2009
ICWL 2009
 
Intelligent tutoring systems
Intelligent  tutoring  systemsIntelligent  tutoring  systems
Intelligent tutoring systems
 
Kalvi: An Adaptive Tamil m-Learning System paper
Kalvi: An Adaptive Tamil m-Learning System paperKalvi: An Adaptive Tamil m-Learning System paper
Kalvi: An Adaptive Tamil m-Learning System paper
 
Nabila__proposal4.doc
Nabila__proposal4.docNabila__proposal4.doc
Nabila__proposal4.doc
 
Matching User Preferences with Learning Objects in Model Based on Semantic We...
Matching User Preferences with Learning Objects in Model Based on Semantic We...Matching User Preferences with Learning Objects in Model Based on Semantic We...
Matching User Preferences with Learning Objects in Model Based on Semantic We...
 
B04 3-1121
B04 3-1121B04 3-1121
B04 3-1121
 
Building a multilingual ontology for education domain using monto method
Building a multilingual ontology for education domain using monto methodBuilding a multilingual ontology for education domain using monto method
Building a multilingual ontology for education domain using monto method
 
Ijcatr04041023
Ijcatr04041023Ijcatr04041023
Ijcatr04041023
 
libya
libyalibya
libya
 
D04 06 2438
D04 06 2438D04 06 2438
D04 06 2438
 
Understanding the role of individual learner in adaptive and personalized e-l...
Understanding the role of individual learner in adaptive and personalized e-l...Understanding the role of individual learner in adaptive and personalized e-l...
Understanding the role of individual learner in adaptive and personalized e-l...
 
Applying Semantic Web Technologies to Services of e-learning System
Applying Semantic Web Technologies to Services of e-learning SystemApplying Semantic Web Technologies to Services of e-learning System
Applying Semantic Web Technologies to Services of e-learning System
 
A design of a multi-agent recommendation system using ontologies and rule-bas...
A design of a multi-agent recommendation system using ontologies and rule-bas...A design of a multi-agent recommendation system using ontologies and rule-bas...
A design of a multi-agent recommendation system using ontologies and rule-bas...
 
AN ADAPTIVE AND INTELLIGENT TUTOR BY EXPERT SYSTEMS FOR MOBILE DEVICES
AN ADAPTIVE AND INTELLIGENT TUTOR BY EXPERT SYSTEMS FOR MOBILE DEVICESAN ADAPTIVE AND INTELLIGENT TUTOR BY EXPERT SYSTEMS FOR MOBILE DEVICES
AN ADAPTIVE AND INTELLIGENT TUTOR BY EXPERT SYSTEMS FOR MOBILE DEVICES
 
E-Learning
E-LearningE-Learning
E-Learning
 
Ontology-based Semantic Approach for Learning Object Recommendation
Ontology-based Semantic Approach for Learning Object RecommendationOntology-based Semantic Approach for Learning Object Recommendation
Ontology-based Semantic Approach for Learning Object Recommendation
 

More from IOSR Journals

More from IOSR Journals (20)

A011140104
A011140104A011140104
A011140104
 
M0111397100
M0111397100M0111397100
M0111397100
 
L011138596
L011138596L011138596
L011138596
 
K011138084
K011138084K011138084
K011138084
 
J011137479
J011137479J011137479
J011137479
 
I011136673
I011136673I011136673
I011136673
 
G011134454
G011134454G011134454
G011134454
 
H011135565
H011135565H011135565
H011135565
 
F011134043
F011134043F011134043
F011134043
 
E011133639
E011133639E011133639
E011133639
 
D011132635
D011132635D011132635
D011132635
 
C011131925
C011131925C011131925
C011131925
 
B011130918
B011130918B011130918
B011130918
 
A011130108
A011130108A011130108
A011130108
 
I011125160
I011125160I011125160
I011125160
 
H011124050
H011124050H011124050
H011124050
 
G011123539
G011123539G011123539
G011123539
 
F011123134
F011123134F011123134
F011123134
 
E011122530
E011122530E011122530
E011122530
 
D011121524
D011121524D011121524
D011121524
 

Recently uploaded

Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
WSO2
 

Recently uploaded (20)

CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Simplifying Mobile A11y Presentation.pptx
Simplifying Mobile A11y Presentation.pptxSimplifying Mobile A11y Presentation.pptx
Simplifying Mobile A11y Presentation.pptx
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...Stronger Together: Developing an Organizational Strategy for Accessible Desig...
Stronger Together: Developing an Organizational Strategy for Accessible Desig...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Navigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern EnterpriseNavigating Identity and Access Management in the Modern Enterprise
Navigating Identity and Access Management in the Modern Enterprise
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Decarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational PerformanceDecarbonising Commercial Real Estate: The Role of Operational Performance
Decarbonising Commercial Real Estate: The Role of Operational Performance
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
WSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering DevelopersWSO2's API Vision: Unifying Control, Empowering Developers
WSO2's API Vision: Unifying Control, Empowering Developers
 
ChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps ProductivityChatGPT and Beyond - Elevating DevOps Productivity
ChatGPT and Beyond - Elevating DevOps Productivity
 
JavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate GuideJavaScript Usage Statistics 2024 - The Ultimate Guide
JavaScript Usage Statistics 2024 - The Ultimate Guide
 

C017351116

  • 1. IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 17, Issue 3, Ver. V (May – Jun. 2015), PP 11-16 www.iosrjournals.org DOI: 10.9790/0661-17351116 www.iosrjournals.org 11 | Page Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the E-orientation system “MMSyOrientation” Fatima Zahra Guerss1* , Mohammed Aitdaoud2 , Khadija Douzi1 , Kamal El Guemmat2 , Abdelouahed NAMIR2 , Mohammed Talbi2 1 (LIM, Université Hassan-II, Faculté des sciences et techniques Mohammedia, Morocco) 2 ( LTIM, Université Hassan-II, Faculté des sciences Ben-M'sik, Morocco) Abstract: Today E-orientation systems are interested in helping learners to choose a suitable branch to their skills and preferences. In this context the research center within the University Hassan II Mohammedia Ain- Chock announced the appearance of MMSyOrientation project. This project focuses on the orientation of Moroccan student’s education as a concern and a family, social, and political preoccupation. The student remains an educational system focus center, especially at the MMSyOrientationi project level, which requires suggesting a feasible model for this major actor. Thus we should refer to users’ models specifically learners’ profiles, which deal with these outlines in the EIAH domain (it environments for human learning). These models are generic and not dedicated to the academic E-Orientation systems. The purpose of this article is to propose a direction model to the student on the most appropriate way of their profile. In this context we could implement an ontology entitled (Onto E-orientation) to an E-orientation Moroccan system representing different ways of information on such learning, using OWL language. Keywords: E-Orientation, MMSyOrientation, EIAH, User model, learner profile, Ontology. I. Introduction For a long time, the orientation system has been interested in helping people to make their choice. This is done by using counselors’ guidance who knows as many details about the teaching field to help students to choose a right way in terms of career. With the advent of information technology and communication for teaching (TICE), the actors in this area thought to adapt this concept to the current time, implementing a new concept called E-orientation, which is interested in automating the orientation task thanks to Information Technology (IT). While liberating the counselors so that they will be interested in other complicated tasks requiring human intervention. However, the realization of an E-Orientation system has exposed several constraints and problems. On the one hand the modeling of a student profile (personal, psychic information, learning styles, etc ...) and on the other hand the adaptation of the profile to one or more suitable choices. According to our humble knowledge, representation models of the existing learner profile are generic and are not dedicated for academic E-Orientation systems. This paper presents a new model that is specific to Moroccan academic E-Orientation systems, and overcoming the limitations cited above. Currently ontology constitute an innovative solution for the representation of shared knowledge [1]. The proposed model is ontological, implemented and ready for later use in the E-Orientation system which is the MMSyOrientation Hassan II University project between Laboratory of Computer Mohammedia (LIM), Information Technology and Modeling Laboratory (LTIM), Laboratory for Analysis Modeling and Simulation (LAMS), and Department of Mathematics Cryptography and Mechanical (LMCM). In this article, we define the modeling issues of the learner’s profile in chapter 2, our contribution in the domain will be presented in Chapter 3, the implementation of the ontology is described in Chapter 4, and Chapter 5 is the latest to close and define our perspectives. II. The learner’s profile modeling There are several representations of the learner’s Profile models [2]. The rest of this section provides a global vision on the various most pertinent models in the literature. 1. AHAM AHAM [3] is a very general model used to describe the adaptive hypermedia systems (SHA) for teaching, online help, System Information (SI) online, etc… This model divides the SHA in three layers which are interconnected between them:
  • 2. Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the …. DOI: 10.9790/0661-17351116 www.iosrjournals.org 12 | Page  The model storage layer is a set of nodes and links. This layer is organized into three components which are the domain model, the learner’s model, and the adaptation model. o The domain model shows the hypermedia application area as seen by the authors o The user model contains pertinent information on the user utilized for adaptation. o The adaptation model collects rules that are used for adapting hypermedia by combining the information on the domain model and the user model.  The "content components" layer specifies the content and structure of the nodes. The adaptation of the hypermedia is performed by the adaptation engine forming part of the "Specification of presentation" interface.  The execution layer. 2. Munich The Munich model [3] is a very general model that is not only used for educational SHA but also for other types of SHA [3]. This model was developed independently of the AHAM model. The major supply of this model is that it uses a graphical language for describing the various components of a SHA. The layered architecture has been replaced by a UML package diagram and description of the user model, domain and adaptation was illustrated by UML class diagrams. These diagrams are also used to describe the various features that are offered by the three models. 3. ALEM This model is called ALEM (Adaptive Learning Environment Model) [4] and is an extension of the Munich model. This model contains the same three existing layers in the Munich model; it extends their functionality for better modeling of educational systems and includes an additional layer that is educational layer. The different layers of ALEM model are:  The component content layer: contains the content and structure of hypermedia nodes and it also serves to isolate the other layers specific details to the media;  The storage layer: stores information about the structure of the hypermedia. This layer is composed of three meta models: o Meta domain model describing the scope of hypermedia; o The meta learner model describing the characteristics of useful learning for customization of hyperspace; o The meta model describing the adaptation strategies and adaptation rules.  The educational film is an abstract representation of the course. This layer contains the course of the structuring model;  The execution layer is the description of how the presentation of nodes. This layer is responsible for interacting with the learner, the acquisition of learner data and session management. 4. INT The user model INT [5] is a triplet: <learner, preference, knowledge>:  Learner is the ID of the user.  The user preferences match to their language or their favorite presentation. Each element of the set of preferences is represented by a pair <attribute, value>.  The user's knowledge is represented by triples of the form: <domainConcept, role, educationalState>. 5. Comparison between models The Munich and AHAM models are very similar. Munich and ALEM model the SHA from the viewpoint of the approach "object-oriented". However, AHAM models the SHA from the perspective of the "database" approach. All of these reference models represent the personal and educational information of the learner generically. Whereas, these models are not dedicated to the education system especially the E-Orientation systems. On the one hand there are many limitations in the psychic and stylistic modeling of the student profile, and on the other hand the adaptation of profile to one or more appropriate choices. It is in this context that we will propose in the next chapter a new specific model for E-orientation systems specifically MMSyOrientation system.
  • 3. Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the …. DOI: 10.9790/0661-17351116 www.iosrjournals.org 13 | Page III. The ontology of the Moroccan Post-baccalaureate student profile for the E-guidance system MMSyOrientation In this section, we will describe the evolution of our former ontology orientation into two sub- components: 1. Former Onto Our former ontology [6] is described as follows: - Guidance is a set of branch (component). - A branch can be either a coaching or mentoring, or either a portfolio or an ePortfolio. - A coaching can be either a process or a technic, a guide, a video, or an exercise ... - Tutoring can be a course, exercise, control, test, ... - A portfolio is a document, a folder, a file, an archive, a collection of the work, a personal paper, a reference letters, certificates, report cards, photocopies in which learning outcomes and achievements of the experience of a person are defined and demonstrated based on skills, knowledge, attitudes and behaviors. - An ePortfolio is an ebook, a picture, a video, a database, etc… The orientation can be done either by coaching, tutoring, portfolio or ePortfolio.  Coaching has a process or more, using at least one technic, provides a guide or more, is used as support video.  Tutoring owns courses, uses exercises, contains controls, supports testing.  The portfolio has documents, uses archives, contains folders, supports files.  The ePortfolio has ebooks, uses databases, contains images, supports videos. We found out that our former ontology has limitations which reside in: - Orientation was considered as a concept, and not as a domain. - The learner’s model was not processed to generate a knowledge model. 2. Towards a new pedagogical orientation ontology for the system « onto E-orientation » The domain ontology orientation system E-orientation (Onto E-orientation) is based on an ex-Ontology [6] we have developed. The latter is limited vis-a-vis the domain. We specified the need of the orientation domain as follows:  Knowledge area: academic and career orientation  Objective: Using Onto E-orientation in the context of meeting the needs of MMSyOrientation project for remote position or orientation of electronic E-orientation to facilitate the Moroccan educational orientation task.  Users: Learners, post-baccalaureate, trainers, parents, counselors,etc…  Sources of information: All documents that are interested in the field of university and career orientation.  Scope of ontology: Testing, presentations, courses, videos, etc… The new ontology enriches both concepts that will be treated in the following section. 2.1 Learner’s Profile: The new ontology (Onto E-orientation) details the concept of learner’s profile that is among the main elements for the proper practice of educational orientation field. The learner’s profile is a specialization of templates that users must be well modeled. [7] This concept has not been well analyzed in our former ontology to provide E-orientation systems, guidance or adequate recommendation to the required profile. Several studies have provided solutions based on ontologies to describe user profiles, among them dealing specifically with the presentation styles (learning preferences) .The model [8] proposes an ontology of the learning profile with different characteristics one user, basic concepts, as concepts and relationships between various concepts. It describes a learner in 4 aspects as abstract concepts in the ontology: According to Zayani [9] and Behaz [8] we have enriched our former ontology and precisely the learner profile model We use a user model that describes the structure of each learner's profile. The latter has two types of characters [10], [11]: - The permanent characteristics remain fixed in time. These features are provided by the user's (questionnaire or form) and introduce the user identity, demographics data etc… - The evolutionary characteristics change over time. Generally, these features are not used and updated by observing the behavior of the user.
  • 4. Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the …. DOI: 10.9790/0661-17351116 www.iosrjournals.org 14 | Page Moreover, [13] considers a user's profile is composed by: - A set of permanent features' CharacPermanent '. - A set of evolutionary characteristics 'CharacEvolutif' 'that may have one or more items' 'Item'. Each item can integrate identified user's needs in its applications and depend on another item. 2.2 Orientation : Given the importance of the orientation process defined below, according to Guerss.F & Aitdaoud.M [6], we could deduce an adequate orientation process E-orientation system following its steps: Figure 1: Process of orientation These steps will try to give a motivation to the post-baccalaureate especially in the course selection. In addition, we could extend the concept of orientation [6] to all actors that have an impact on it, dealing with the psychological, social and educational side in the pedagogical choice. The second part will detail this domain. IV. Implementation In this section, we will start by describing any of the glossary concepts and glossary orientation relations domain concepts and then by making the implementation of ontology 'Onto E-orientation "using the Protégé tool [12]. 1. Glossary of the dictionnary concepts: This part focuses on building of a dictionary of concepts. Each concept is assigned an identifier "iDConcept" which describes the properties that characterize it. The table below shows that. Table 1: Glossary of the concepts Name Attributes Relations Synonyms Person Idperson Has Individual Section Idsection Has section or branch of study counselor Idcounselor Has psychological accompagnement Parents Idparents Has father, mother of the studiant Profil Idprofil Has cognitive characteristics of a student Characevolutif Idcharacevolutif Has evolving Characterics of a student Capacity Idcapacity Has acquistion Capacity of a student Cptpedagogical COD-requis Has Knowlege acquired from pedagogical learning cptprofessionnal COD_Cpt Has Knowlege acquired from professional learning Diploma COD_DIP Obtain Result Holder of a given level
  • 5. Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the …. DOI: 10.9790/0661-17351116 www.iosrjournals.org 15 | Page Included require taken in Domain COD_domain neccesitates Sector Level Idlevel Result Degree ou value attained in a domain Caracpermanant Idcaracpermanant Has permanant charactèristics of a student … 2. Glossary of attributes dictionnary The next task is the construction of the attribute chart which contains a precise description of the attributes of the concept dictionary, and the set of limits and constraints on these values. The table below shows an extract of the attribute chart. Table 2 : glossary of attributes Name Type Default Value Idperson Varchar2[10] Idperson Iddepartement Varchar2[10] Iddepartement Idsection Varchar2[10] Idsection Idcounselor Varchar2[10] idcounselor Idparents Varchar2[10] Idparents Idprofile Varchar2[10] Idprofile Idcharacevolving Varchar2[10] Idcharacevolving Idcapacity Varchar2[10] Idcapacity COD-requis Int COD-requis LIB_requis Varchar2[60] LIB_requis COD_Cpt Int COD_Cpt LIB_cmp Varchar2[60] LIB_cmp COD_DIP Varchar2[7] COD_DIP LIB_DIP Varchar2[60] LIB_DIP LIB_DIP_ARB Varchar2[60] LIB_DIP_ARB LIC_DIP Varchar2[25] LIC_DIP LIC_DIP_ARB Varchar2[25] LIC_DIP_ARB Sector_Disciplinary Varchar2[20] Sector_Disciplinary ……. ………. …….. 3. Glossairy of relations The last task is the construction of the relationship table for each relationship we define the relation name, the main and targets concepts names and their cardinalities. The table below shows an excerpt from the relationship table. Table 3 : relations table Relation name Principal concept Targeted concept principal Card Targeted Card Sharing Student Hobby 1.1 0.* Taken in Diploma Establissement 0.* 1.1 Require Diploma CptPedagogical 1.1 1.* Included Diploma Nature_Diploma 1.1 1.1 Result Diploma Level 1.1 1.1 Obtain Student Diploma 1.1 0.* Neccessitite Domain CptProfessionnel 1.1 1.* Mastering student Language 1.1 0.* Makes Student Training 1.1 0.* ….. 4. Implementation of Onto E-orientation The figure below shows our ontology (Onto E-orientation) implemented under the software Protégé 2000 v4.3.0.
  • 6. Towards a new ontology of the Moroccan Post-baccalaureate learner profile for the …. DOI: 10.9790/0661-17351116 www.iosrjournals.org 16 | Page Figure 2 : orientation ontology domain (Onto E-orientation) V. Conclusion and perceptives In the project context MMSyOrientation, we proposed a new ontology of the Moroccan Post- baccalaureate learner’s profile for an E-orientation system. This ontology represents the learner in two permanent and evolving characters. Our new ontology will be used in this system to orientate new students according to their educational, stylistic and psychological profiles. We have to prepare a knowledge base combining such a profile to adequate section. Then studying to ensure that the courses offered by our system are adequate according to the notes that will be obtained by students References [1]. Dehors S. « QBLS : web sémantique de formation pour un apprentissage par questionnement», EIAH Montpellier 2005. [2]. Razmerita, L., User modeling and personalization of the Knowledge Management Systems,book chapter,in Adaptable and Adaptive Hypermedia, by Idea Group Publishing, 2005. [3]. De Bra P., Nejdl W., « Adaptive Hypermedia and Adaptive Web-Based Systems », Third International Conference, AH 2004, Eindhoven, The Netherlands, August 23- 26, 2004. [4]. Mohammed TADLAOUI, Azzedine CHIKH, Karim Bouamrane1, ALEM: Un Modèle de Référence pour les Applications Web Adaptatif Educatif, In: LEAFA 2010 The First International Conference on e-Learning For All, 3-5 June 2010 , Hammamet, Tunisia. [5]. Duitama F., Defude B., Bouzeghoub A., and Carpentier C., « A framework for the generation of adaptive courses based on semantic metadata », Multimedia Tools and Applications, 2005. [6]. Guerss Fatima zahra & Aitdaoud Mohammed, Douzi Khadija, Talbi Mohammed, Namir Abdelouahed «Towards a computerized system of pedagogical orientation to succeed in Morocco university», 4th WORLD CONFERENCE ON EDUCATIONAL SCIENCES, WCES- 2014 [7]. Truong, H. P., & Jean-Daubias, S. (2010). «Opérateurs et fonctions de transformation de profils d’apprenant sous forme de services web», Résumé [8]. Zayani, C., Sedes, F., Peninou, A., Canut, M.-F., Amous, I.: «Interrogation de documents semi-structurés: extensions basées sur l’adaptation l’utilisateur », In: INFORSID, Hammamet - Tunisie, 1-03 juin 06, pp. 97–112. Hermés Science Publications (June 2006) [9]. Behaz, A., & Djoudi, M. «Approche de Modélisation d'un Apprenant à base d'Ontologie pour un Hypermédia adaptatif Pédagogique», In CIIA,2009 [10]. Kobsa A.,and Koenemann, J., and Pohl, W. « Personalized Hypermedia PResentation Techniques for Improving Online Customer Relationships », in The Knowledge Engineering Review, 16(2), 2001, p.111-155 [11]. Brusilovsky P. «Adaptive hypermedia», User Modeling and User-Adapted Interaction (1:2), November 2001, p.87-110 [12]. Protégé 2000 [online].Available : protege.stanford.edu/ i Meta Modeling for Orientation (guidance) System at a distance opened