You are previewing Artificial Intelligence Technologies and the Evolution of Web 3.0.
O'Reilly logo
Artificial Intelligence Technologies and the Evolution of Web 3.0

Book Description

Web technologies have become a vital element within educational, professional, and social settings as they have the potential to improve performance and productivity across organizations. Artificial Intelligence Technologies and the Evolution of Web 3.0 brings together emergent research and best practices surrounding the effective usage of Web 3.0 technologies in a variety of environments. Featuring the latest technologies and applications across industries, this publication is a vital reference source for academics, researchers, students, and professionals who are interested in new ways to use intelligent web technologies within various settings.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Foreword
  7. Preface
    1. SECTION 1: SMART TECHNOLOGY IN HIGHER EDUCATION AND FOR HUMAN BEINGS
    2. SECTION 2: SMART TECHNOLOGY IN DESIGN
    3. SECTION 3: E-GOVERNMENT AND ICT
    4. SECTION 4: BUSINESSES AND SMART TECHNOLOGY
  8. Section 1: Smart Technology in Higher Education and for Human Beings
    1. Chapter 1: The Impact of Web 2.0 and Web 3.0 on Academic Roles in Higher Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: THERE HAS ALWAYS BEEN LEARNING TECHNOLOGY – WHY IS WEB 2.0 ANY DIFFERENT?
      4. SO HOW DO WE UNDERSTAND THE ROLE OF THE TEACHER?
      5. WHAT ARE THE CHARACTERISTICS OF WEB 2.0 WHICH HAVE FORCED CHANGE IN TEACHERS’ ROLES?
      6. DOES WEB 3.0 MAKE A FURTHER DIFFERENCE TO HOW TEACHERS TEACH AND HOW STUDENTS LEARN?
      7. IN WHAT WAYS ARE HE TEACHER ROLES NOW TRANSFORMING?
      8. FUTURE RESEARCH DIRECTIONS AND CONCLUDING COMMENTS
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    2. Chapter 2: Web 3.0 Technologies and Transformation of Pedagogical Activities
      1. ABSTRACT
      2. INTRODUCTION
      3. RESEARCH BACKGROUND. WEB 3.0: THE NEW FORM OF REPRESENTATION, COMPREHENSION, AND USE OF INFORMATION. DISCUSSIONS ON THE TOPIC
      4. WEB 3.0 AND NEW TEACHING STRATEGIES
      5. CONCLUSION
      6. REFERENCES
      7. ADDITIONAL READING
      8. KEY TERMS AND DEFINITIONS
    3. Chapter 3: Semantic Retrieval of Documents from Digital Repositories and Twitter Integration in the Moodle Environment
      1. ABSTRACT
      2. INTRODUCTION
      3. 1. RELATED WORK
      4. 2. DISTANCE EDUCATION AND MOODLE AS A TEACHING TOOL
      5. 3. INFORMATION RETRIEVAL USING ONTOLOGIES
      6. 4. MOODLE AND ITS FRAMEWORK FOR CONTEXT DEFINITION
      7. 5. OPEN ARCHIVES INITIATIVE
      8. 6. TWITTER AS A TOOL TO SUPPORT EDUCATION
      9. 7. INTEGRATE DIGITAL REPOSITORIES AND USING TWEETS AS AN INFORMATION RESOURCE
      10. 8. GENERAL SYSTEM ARCHITECTURE
      11. 9. INTERFACE OF THE CONTEXT-SENSITIVE MOODLE PLUG-IN FOR THE SEARCH OF EXTERNAL RESOURCES
      12. 10. ANALYSIS OF USE OF THE MOODLE PLUG-IN IN INTEGRATION WITH TWITTER
      13. CONCLUSION
      14. FUTURE RESEARCH
      15. REFERENCES
      16. ADDITIONAL READING
    4. Chapter 4: E-Learning and the Semantic Web
      1. ABSTRACT
      2. INTRODUCTION
      3. E-LEARNING AND THE SEMANTIC WEB: LITERATURE REVIEW
      4. RESEARCH METHODOLOGY
      5. RESEARCH ANALYSIS AND GAPS
      6. DISCUSSION OF THE NEW INTIIAL HOLISTIC 3.0 E-LEARNING MODEL AND FUTURE WORKS
      7. CONCLUSION
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
      11. APPENDIX
    5. Chapter 5: Web 3.0 and E-Learning
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. EVOLUTION OF THE WEB AND GROWTH OF E-LEARNING
      5. THE WEB 3.0 CHALLENGE
      6. SOLUTIONS AND RECOMMENDATIONS
      7. TRAINING IN WEB 3.0 TECHNOLOGIES
      8. DISCUSSION
      9. FUTURE RESEARCH DIRECTIONS
      10. CONCLUSION
      11. REFERENCES
      12. ADDITIONAL READING
      13. KEY TERMS AND DEFINITIONS
    6. Chapter 6: A Web-Based System for Error Correction Questions in Programming Exercise
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SUPPORT SYSTEM OF ERROR CORRECTION QUESTION
      5. DISCUSSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    7. Chapter 7: Digital Keepsakes
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. STRATEGIES FOR NETWORKING: MEDIA AND COMMUNICATION MULTIPLEXITY
      5. EXTENDED USES OF DIGITAL ARTIFACTS
      6. DISCUSSION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    8. Chapter 8: Saving Face in Online Learning
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. RESEARCH RATIONALE
      5. DESIGN OF THE RESEARCH SERIES
      6. ANALYSES
      7. RESULTS AND DISCUSSION
      8. LIMITATIONS, CONCLUSION, AND RECOMMENDATIONS
      9. ACKNOWLEDGMENT
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
  9. Section 2: Smart Technology in Design
    1. Chapter 9: Web-Based Information Exploration of Sensor Web Using the HTML5/X3D Integration Model
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. DESIGN OF METADATA VISUALIZATION
      5. IMPLEMENTATION
      6. USE CASE
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
    2. Chapter 10: Web 3.0 in Web Development
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. WEB 3.0 TECHNOLOGIES
      5. SOLUTIONS AND RECOMMENDATIONS
      6. CONCLUSION
      7. REFERENCES
      8. ADDITIONAL READING
      9. KEY TERMS AND DEFINITIONS
  10. Section 3: E-Government and ICT
    1. Chapter 11: Evaluating NoSQL Databases for Big Data Processing within the Brazilian Ministry of Planning, Budget, and Management
      1. ABSTRACT
      2. INTRODUCTION
      3. BIG DATA
      4. BIG DATA TECHNOLOGIES
      5. NoSQL Databases
      6. CASE STUDY
      7. RESULTS AND DISCUSSION
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. ACKNOWLEDGMENT
      11. REFERENCES
      12. KEY TERMS AND DEFINITIONS
    2. Chapter 12: Predicting Use of GoodGuide.com Consumer Product Sustainability Information Using VBN Theory and NEP Scale
      1. ABSTRACT
      2. INTRODUCTION
      3. ISSUE, CONTROVERSY, AND PROBLEM: SUSTAINABILITY PRODUCT INFORMATION AND THE CONSUMER
      4. BACKGROUND AND LITERATURE REVIEW
      5. RESEARCH METHOD
      6. STUDY FINDINGS
      7. SUGGESTED SOLUTIONS
      8. FUTURE RESEARCH DIRECTIONS
      9. CONCLUSION
      10. REFERENCES
      11. ADDITIONAL READING
      12. KEY TERMS AND DEFINITIONS
      13. APPENDIX: SURVEY QUESTIONNAIRE ITEMS FOR SELECTED CONSTRUCTS
    3. Chapter 13: Emergency Management Training and Social Network Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. TOWARDS A COMPREHENSIVE EMERGENCY TRAINING TOOL
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. ACKNOWLEDGMENT
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
  11. Section 4: Businesses and Smart Technology
    1. Chapter 14: Artificial Neural Learning Based on Big Data Process for eHealth Applications
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ARTIFICIAL NEURAL NETWORKS
      5. METHODS
      6. RESULTS AND DISCUSSION
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 15: Marketing Strategies in the Age of Web 3.0
      1. ABSTRACT
      2. INTRODUCTION
      3. INNOVATIONS IN ICTs AND MARKETING: THE NEW DIMENSIONS OF COMMUNICATION
      4. THE EVOLUTION OF THE WEB AND THE BIRTH OF WEB MARKETING FROM THE WEB 1.0 TO THE WEB 3.0
      5. THE IMPORTANCE OF VIRTUAL COMMUNITIES IN THE ERA OF MARKETING 3.0
      6. WEB 3.0 IMPLICATIONS FOR BUSINESSES
      7. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
      8. REFERENCES
      9. ADDITIONAL READING
      10. KEY TERMS AND DEFINITIONS
      11. ENDNOTES
    3. Chapter 16: Characterizing the IT Artefact through Plato's Ontology
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. CHARACTERIZING PERFORMANCE MEASUREMENT SYSTEMS AS AN IT ARTEFACT
      4. 3. ONTOLOGICAL FOUNDATION
      5. 4. RESEARCH METHOD
      6. 5. RESULTS
      7. 6. IMPLICATIONS
      8. 7. FUTURE RESEARCH AND CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    4. Chapter 17: IT Alignment Intelligence
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. BUSINESS: IT ALIGNMENT
      5. ENTERPRISE ARCHITECTURE
      6. EMOTINAL INTELLIGENCE
      7. METHODOLOGY AND RESEARCH FINDINGS
      8. EXPERIENCE
      9. COMMUNICATION
      10. EMOTIONAL SELF-MANAGEMENT
      11. EMOTIONAL MANAGEMENT OF OTHERS
      12. PROFESSIONALISM
      13. EMOTIONAL EXPRESSION
      14. EMOTIONAL SELF-AWARENESS
      15. EMOTIONAL AWARENESS OF OTHERS
      16. EMOTIONAL SELF-CONTROL
      17. COLABORATION
      18. EMOTIONAL REASONING
      19. SOLUTIONS AND RECOMMENDATIONS
      20. FUTURE RESEARCH DIRECTIONS
      21. CONCLUSION
      22. REFERENCES
      23. KEY TERMS AND DEFINITIONS
  12. Compilation of References
  13. About the Contributors