The organization of knowledge and advanced technologies (OCTA) asks the following questions: How can we strengthen alliances between multi-disciplinary and trans-disciplinary studies? How can we broaden our skills surrounding common objects of study? How can we innovate the solutions found and propose sustainable development to society confidently? This book is a result of intensive and collaborative work between highly respected scientific authors. The nine chapters that have been selected for this book have been peer-reviewed by the OCTA program committee, both as written submissions and when presented during the OCTA multi-conference on organization.
Table of Contents
Introduction xi
Sahbi SIDHOM and Amira KADDOUR
Chapter 1 Multi-Agent System and Ontology to Manage Ideas and Represent Knowledge: Creativity Challenge 1
Pedro Chávez BARRIOS, Davy MONTICOLO and Sahbi SIDHOM
1.1 Introduction 1
1.2 Multi-agent system (MAS) and ontology 3
1.2.1 MAS and ontology 3
1.2.2 MAS methodologies 5
1.2.3 Methodologies to design ontologies 6
1.3 MAS and ontology: our approach proposal 7
1.3.1 MAS methodology GAIA 7
1.3.2 Applying the ontology, Uschold’s ontology 8
1.4 Results 9
1.4.1 Multi-agent system results 9
1.4.2 Ontology results 13
1.5 Conclusion 16
1.6 Appendices 16
1.7 References 22
Chapter 2 Comparative Study of Educational Process Construction Supported by an Intelligent Tutoring System 27
Walid BAYOUNES, Inès BAYOUDH SÂADI and Hénda BEN GHÉZALA
2.1 Introduction 27
2.2 New view of educational process 28
2.2.1 Psycho-pedagogical level 30
2.2.2 Didactic level 30
2.2.3 Situational level 30
2.2.4 Online level 30
2.3 Definition framework 30
2.3.1 Didactic domain world 31
2.3.2 Instructional design world 32
2.3.3 Learning environment world 33
2.3.4 Learning situation world 34
2.4 Comparative study 34
2.4.1 Study scope 34
2.4.2 Description of systems 35
2.4.3 Specification of approaches 36
2.4.4 Study results and discussion 50
2.5 Conclusion and future works 51
2.6 References 52
Chapter 3 Multi-Criteria Decision-Making Recommender System Based on Users’ Reviews 55
Mariem BRIKI, Sabrine BEN ABDRABBAH and Nahla BEN AMOR
3.1 Introduction 55
3.2 Multi-criteria decision-making 56
3.3 Basics of recommendation systems and related work 58
3.3.1 Recommender systems 58
3.3.2 Text mining-based recommendation systems 59
3.3.3 Multi-criteria recommender systems 60
3.4 New multi-criteria text-based recommendation system 62
3.4.1 Primary criterion-based recommendation system 62
3.4.2 Multi-criteria text mining-based recommendation system 66
3.5 Experimental study 67
3.5.1 Dataset and metrics 67
3.5.2 Evaluation metrics 68
3.5.3 Experimental protocol 69
3.5.4 Experimental results 70
3.6 Conclusion 71
3.7 References 72
Chapter 4 Spammer Detection Relying on Reviewer Behavior Features Under Uncertainty 75
Malika BEN KHALIFA, Zied ELOUEDI and Eric LEFÈVRE
4.1 Introduction 75
4.2 Background 78
4.2.1 The belief function theory 78
4.2.2 Evidential K-nearest neighbors 80
4.3 Spammer detection relying on the reviewers’ behavioral features 81
4.3.1 Step 1: Features extraction 82
4.3.2 Step 2: Initialization and learning phase 87
4.3.3 Step 3: Distinguishing between innocent and spammer reviewers 88
4.4 Experimental study 89
4.4.1 Evaluation protocol 90
4.4.2 Results and discussion 91
4.5 Conclusion and future work 92
4.6 References 92
Chapter 5 Social Networking Application, Connections Between Visual Communication Systems and Personal Information on the Web 97
Marilou KORDAHI
5.1 Introduction 97
5.2 Related published works 100
5.3 Pattern for the SignaComm, first approach 101
5.3.1 SignaComm’s context 102
5.3.2 SignaComm’s pattern 103
5.4 From text phrases to signagrams for the protection of personal data 107
5.4.1 Automatic translation 107
5.4.2 Dictionary of signagrams 109
5.5 SignaComm’s first technical test 110
5.5.1 Interface pattern 110
5.5.2 User profile pattern 111
5.5.3 Machine translation pattern 111
5.5.4 Activity pattern 113
5.6 Discussion and conclusion 113
5.7 Acknowledgment 114
5.8 References 114
Chapter 6 A New Approach of Texts and Writing Normalization for Arabic Knowledge Organization 119
Hammou FADILI
6.1 Introduction 119
6.2 Motivation 120
6.3 Using a machine learning model 120
6.4 Technological elements integration 124
6.5 Corpus and dataset 126
6.6 Experiences and evaluations 127
6.6.1 Results 129
6.7 Conclusion 130
6.8 References 131
Chapter 7 Ebola Epidemic in the Congo 2018-2019: How Does Twitter Permit the Monitoring of Rumors? 137
Marc TANTI
7.1 Introduction 137
7.2 Materials and methods 139
7.3 Results 143
7.3.1 Regarding the general public, the citizens 143
7.3.2 Regarding the experts 145
7.3.3 Regarding the media 146
7.3.4 Regarding the politicians 148
7.4 Conclusion 149
7.5 Acknowledgment 150
7.6 References 150
Chapter 8 From Human and Social Indexing to Automatic Indexing in the Era of Big Data and Open Data 153
Nabil KHEMIRI and Sahbi SIDHOM
8.1 Introduction 153
8.2 Indexing definition 154
8.3 Manual indexing 155
8.4 Automatic indexing 156
8.4.1 Statistical indexing methods 156
8.4.2 Linguistic indexing methods 157
8.4.3 Semantic indexing 158
8.4.4 Social indexing 159
8.5 Indexing methods for Big Data and Open Data 159
8.6 Conclusion 161
8.7 References 161
Chapter 9 Strategies for the Sustainable Use of Digital Technology by the AWI in the Management of Knowledge and Cultural Communication on the “Arab World” 165
Asma ABBASSI
9.1 Introduction 165
9.2 The Arab World Institute and the construction of knowledge around the “Arab World” in the West 166
9.3 The AWI’s digital communication strategies 168
9.4 The images built by the AWI and the question of feedback 176
9.5 The role of digital tools in sustainability and durability in the management of knowledge and communication at the AWI 178
9.6 Conclusion 180
9.7 References 181
List of Authors 185
Index 187
