Systems and Uses of Digital Sciences for Knowledge Organization is a large-scale scientific work that brings together researchers and R&D professionals to discuss ideas and actions in the organization of knowledge. The main objective of this book is to define collaborative strategies, use advanced technologies in multiple research fields and outline applications of knowledge organization and its cultural, education, economic and industrial potential.
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.
Author(s): Sahbi Sidhom, Amira Kaddour
Series: Computer Engineering Series: Digital Tools and Uses Set, 9
Publisher: Wiley-ISTE
Year: 2022
Language: English
Pages: 221
City: London
Cover
Title Page
Copyright Page
Contents
Introduction
Chapter 1. Multi-Agent System and Ontology to Manage Ideas and Represent Knowledge: Creativity Challenge
1.1. Introduction
1.2. Multi-agent system (MAS) and ontology
1.2.1. MAS and ontology
1.2.2. MAS methodologies
1.2.3. Methodologies to design ontologies
1.3. MAS and ontology: our approach proposal
1.3.1. MAS methodology GAIA
1.3.2. Applying the ontology, Uschold’s ontology
1.4. Results
1.4.1. Multi-agent system results
1.4.2. Ontology results
1.5. Conclusion
1.6. Appendices
1.7. References
Chapter 2. Comparative Study of Educational Process Construction Supported by an Intelligent Tutoring System
2.1. Introduction
2.2. New view of educational process
2.2.1. Psycho-pedagogical level
2.2.2. Didactic level
2.2.3. Situational level
2.2.4. Online level
2.3. Definition framework
2.3.1. Didactic domain world
2.3.2. Instructional design world
2.3.3. Learning environment world
2.3.4. Learning situation world
2.4. Comparative study
2.4.1. Study scope
2.4.2. Description of systems
2.4.3. Specification of approaches
2.4.4. Study results and discussion
2.5. Conclusion and future works
2.6. References
Chapter 3. Multi-Criteria Decision-Making Recommender System Based on Users’ Reviews
3.1. Introduction
3.2. Multi-criteria decision-making
3.3. Basics of recommendation systems and related work
3.3.1. Recommender systems
3.3.2. Text mining-based recommendation systems
3.3.3. Multi-criteria recommender systems
3.4. New multi-criteria text-based recommendation system
3.4.1. Primary criterion-based recommendation system
3.4.2. Multi-criteria text mining-based recommendation system
3.5. Experimental study
3.5.1. Dataset and metrics
3.5.2. Evaluation metrics
3.5.3. Experimental protocol
3.5.4. Experimental results
3.6. Conclusion
3.7. References
Chapter 4. Spammer Detection Relying on Reviewer Behavior Features Under Uncertainty
4.1. Introduction
4.2. Background
4.2.1. The belief function theory
4.2.2. Evidential K-nearest neighbors
4.3. Spammer detection relying on the reviewers’ behavioral features
4.3.1. Step 1: Features extraction
4.3.2. Step 2: Initialization and learning phase
4.3.3. Step 3: Distinguishing between innocent and spammer reviewers
4.4. Experimental study
4.4.1. Evaluation protocol
4.4.2. Results and discussion
4.5. Conclusion and future work
4.6. References
Chapter 5. Social Networking Application, Connections Between Visual Communication Systems and Personal Information on the Web
5.1. Introduction
5.2. Related published works
5.3. Pattern for the SignaComm, first approach
5.3.1. SignaComm’s context
5.3.2. SignaComm’s pattern
5.4. From text phrases to signagrams for the protection of personal data
5.4.1. Automatic translation
5.4.2. Dictionary of signagrams
5.5. SignaComm’s first technical test
5.5.1. Interface pattern
5.5.2. User profile pattern
5.5.3. Machine translation pattern
5.5.4. Activity pattern
5.6. Discussion and conclusion
5.7. Acknowledgment
5.8. References
Chapter 6. A New Approach of Texts and Writing Normalization for Arabic Knowledge Organization
6.1. Introduction
6.2. Motivation
6.3. Using a machine learning model
6.4. Technological elements integration
6.5. Corpus and dataset
6.6. Experiences and evaluations
6.6.1. Results
6.7. Conclusion
6.8. References
Chapter 7. Ebola Epidemic in the Congo 2018–2019: How Does Twitter Permit the Monitoring of Rumors?
7.1. Introduction
7.2. Materials and methods
7.3. Results
7.3.1. Regarding the general public, the citizens
7.3.2. Regarding the experts
7.3.3. Regarding the media
7.3.4. Regarding the politicians
7.4. Conclusion
7.5. Acknowledgment
7.6. References
Chapter 8. From Human and Social Indexing to Automatic Indexing in the Era of Big Data and Open Data
8.1. Introduction
8.2. Indexing definition
8.3. Manual indexing
8.4. Automatic indexing
8.4.1. Statistical indexing methods
8.4.2. Linguistic indexing methods
8.4.3. Semantic indexing
8.4.4. Social indexing
8.5. Indexing methods for Big Data and Open Data
8.6. Conclusion
8.7. References
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”
9.1. Introduction
9.2. The Arab World Institute and the construction of knowledge around the “Arab World” in the West
9.3. The AWI’s digital communication strategies
9.4. The images built by the AWI and the question of feedback
9.5. The role of digital tools in sustainability and durability in the management of knowledge and communication at the AWI
9.6. Conclusion
9.7. References
List of Authors
Index
EULA
