You are previewing Intelligent and Knowledge-Based Computing for Business and Organizational Advancements.
O'Reilly logo
Intelligent and Knowledge-Based Computing for Business and Organizational Advancements

Book Description

As organizations, businesses, and other institutions work to move forward during a new era of ubiquitous modern technology, new computing and technology implementation strategies are necessary to harness the shared knowledge of individuals to advance their organizations as a whole.

Intelligent and Knowledge-Based Computing for Business and Organizational Advancements examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will prove to be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
    3. General Counselor to the List of Reviewers
    4. Associate Editors
  5. Preface
    1. IJOCI BEST PAPER OF THE YEAR
  6. Chapter 1: On the Notion of Collective Intelligence
    1. ABSTRACT
    2. INTRODUCTION
    3. 1. ON THE DEFINITION OF COLLECTIVE INTELLIGENCE
    4. 2. ON THE CROSS-DISCIPLINARY CONTEXT OF COLLECTIVE INTELLIGENCE
    5. 3. COMPUTATIONAL UNDERPINNINGS OF COLLECTIVE INTELLIGENCE
    6. 4. ON DESIGN AND IMPLEMENTATION METHODOLOGIES OF CI BASED SYSTEMS
    7. 5. CASE STUDIES AND APPLICATIONS
    8. 6. CONCLUSION AND FUTURE OUTLOOK
  7. Chapter 2: Enhancing E-Service Collaboration with Enforcement and Relationship Management
    1. ABSTRACT
    2. INTRODUCTION
    3. MOTIVATING CASE AND RESEARCH APPROACH
    4. RELATED WORK
    5. A FRAMEWORK FOR B2B PROCESS COLLABORATION
    6. ELICITATION AND TRANSFORMATION OF PROCESS COLLABORATION REQUIREMENTS
    7. DISCUSSIONS
    8. CONCLUSION
  8. Chapter 3: Chance Discovery as Analogy Based Value Sensing
    1. ABSTRACT
    2. INTRODUCTION: CHANCE DISCOVERY AS VALUE SENSING
    3. CASES USING SCENARIO MAPS AS BASIS OF CHANCE DISCOVERY AND VALUE SENSING
    4. THE PROCESS OF CHANCE DISCOVERY: INTERACTION WITH A WHITE BOARD
    5. ANALOGICAL THINKING: THE KEY TALENT FOR CHANCE DISCOVERY
    6. GAMES FOR TRAINING AND ACTIVATING THINKING SKILLS FOR CHANCE DISCOVERY
    7. CONCLUSION AND FUTURE WORK
  9. Chapter 4: Transdisciplinary Approach to Service Design Based on Consumer’s Value and Decision Making
    1. ABSTRACT
    2. INTRODUCTION
    3. RESEARCH TRENDS OF SERVICE STUDIES
    4. TRANSDISCIPLINARY FRAMEWORK FOR SERVICE STUDIES
    5. STUDY EXAMPLE 1: AGENT BASED MODELING OF A CELL PHONE MARKET BASED ON CONSUMER PREFERENCES
    6. STUDY EXAMPLE 2: PROBABILISTIC COGNITIVE STRUCTURE MODELING USING A BAYESIAN NETWORK IN A RETAIL SERVICE
    7. STUDY EXAMPLE 3: SERVICE OF MOVIE THEATERS --- DESIGN OF A PRICING MECHANISM USING EXPERIMENTAL ECONOMICS AND AGENT BASED SIMULATION
    8. CONCLUSION
  10. Chapter 5: Students’ Perceptions and Acceptance
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. UNDERLYING RESEARCH MODEL
    4. 3. STUDY I ON WEBLOGS
    5. 5. DISCUSSION AND CONCLUSION
  11. Chapter 6: CSMA
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. RELATED WORK
    5. THE CONTEXT-AWARE, SERVICE-ORIENTED MODELING AND ANALYSIS METHOD
    6. CSMA KEY PHASES
    7. CONCLUSION
  12. Chapter 7: Towards a Trust Management Enabled Identity Metasystem
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. IDENTITY METASYSTEM
    4. 3. REQUIREMENTS AND CHALLENGES
    5. 4. TRUST MANAGEMENT SOLUTION
    6. 6. RELATED WORK
    7. 7. CONCLUSION
  13. Chapter 8: Access Control on Semantic Web Data Using Query Rewriting
    1. ABSTRACT
    2. 1 INTRODUCTION
    3. 2 A BRIEF OVERVIEW ON SEMANTIC WEB
    4. 3 ACCESS CONTROL MODELS FOR SEMANTIC WEB
    5. 4 QUERY REWRITING FOR ACCESS CONTROL
    6. 6 RELATED WORK
    7. 7 CONCLUSION AND FUTURE WORK
  14. Chapter 9: Insurance-Based Business Web Services Composition
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. INSURANCE MODELS
    5. BUSINESS WEB SERVICES
    6. PROFIT-DRIVEN BUSINESS WEB SERVICES COMPOSITION
    7. CONCLUSION
  15. Chapter 10: A Social Bookmarking-Based People Search Service
    1. ABSTRACT
    2. INTRODUCTION
    3. WEB SEARCH SERVICE IN PEOPLE SEARCH AND RESOURCE SEARCH
    4. PEOPLE SEARCH SERVICE WITH COLLECTIVE INTELLIGENCE
    5. BUILDING COP FROM COLLABORATIVE SOCIAL TAGGING
    6. SOCIAL BOOKMARKING-BASED PEOPLE SEARCH SERVICE
  16. Chapter 11: Architectures for Enabling Flexible Business Processes
    1. ABSTRACT
    2. INTRODUCTION
    3. WHAT IS FLEXIBILITY?
    4. CASE STUDY: INSURANCE COMPANY
    5. FORMS OF FLEXIBILITY IN PROCESS AUTOMATION
    6. COMPARING PROCESS AUTOMATION APPROACHES ON FLEXIBILITY DIMENSIONS
    7. RESEARCH AGENDA
    8. CONCLUSION
  17. Chapter 12: Distributed Intelligence for Constructing Economic Models
    1. ABSTRACT
    2. INTRODUCTION
    3. SYSTEM ARCHITECTURE
    4. EXPERIMENTAL RESULTS
    5. CONCLUSION
  18. Chapter 13: Analyzing Community Deliberation and Achieving Consensual Knowledge in SAM
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. RELATED WORK
    4. 3. SEMANTIC ARGUMENTATION MODEL
    5. 4. COMMUNITY DELIBERATION ANALYSIS
    6. 6. DISCUSSION AND CONCLUSION
  19. Chapter 14: Improvement of Restaurant Operation by Sharing Order and Customer Information
    1. ABSTRACT
    2. INTRODUCTION
    3. PROBLEMS OF INFORMATION SHARING METHODS IN RESTAURANTS
    4. NEW INFORMATION SHARING SYSTEM FOR RESTAURANTS
    5. INTRODUCTION OF ISS TO A RESTAURANT
    6. RESULT OF INTRODUCTION OF ISS
    7. DISCUSSION 1: ISS’ FUNCTION AND IMPROVEMENT IN RESTAURANT
    8. DISCUSSION 2: DIFFERENCES IN OPERATION FOR CVS AND RESTAURANT INDUSTRIES
    9. CONCLUSION
  20. Chapter 15: The Computing of Digital Ecosystems
    1. ABSTRACT
    2. INTRODUCTION
    3. MULTI-AGENT SYSTEMS
    4. SERVICE-ORIENTED ARCHITECTURES
    5. DISTRIBUTED EVOLUTIONARY COMPUTING
    6. THE DIGITAL ECOSYSTEM
    7. SIMULATION AND RESULTS
    8. USER REQUEST MODULARITY
    9. CONCLUSIONS
  21. Chapter 16: An Autonomous Agent Approach to Query Optimization in Stream Grids
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. MODELLING THE GRID
    5. OPTIMIZATION OBJECTIVE
    6. EMERGENT OPTIMIZATION
    7. EXPERIMENTAL RESULTS
    8. ANALYTICAL MODELING
    9. CONCLUSION AND FUTURE WORK
  22. Chapter 17: Managing Collective Intelligence in Semantic Communities of Interest
    1. ABSTRACT
    2. INTRODUCTION
    3. REFERENCE P2P ARCHITECTURE AND KNOWLEDGE MODEL
    4. CONSTRUCTION OF THE COLLECTIVE INTELLIGENCE
    5. APPLICATION TO THE E-HEALTH DOMAIN
    6. RELATED WORK
    7. CONCLUSION
    8. APPENDIX
  23. Chapter 18: 3D Real-Time Reconstruction Approach for Multimedia Sensor Networks
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORKS
    4. SYSTEM ARCHITECTURE
    5. 3D CAPTURE DEVICE
    6. PRELIMINARY EXPERIMENTAL RESULTS
    7. CONCLUSION AND FUTURE WORKS
  24. Chapter 19: An Experimental Performance Comparison for Indexing Mobile Objects on the Plane
    1. ABSTRACT
    2. INTRODUCTION
    3. A BRIEF OVERVIEW OF THE RELEVANT METHODS
    4. DEFINITIONS AND PROBLEM DESCRIPTION
    5. INDEXING MOBILE OBJECTS USING DUALITY TRANSFORMATIONS
    6. OUR CONTRIBUTION
    7. THE ISB-TREE
    8. CONCLUSIONS
  25. Compilation of References
  26. About the Contributors
  27. Index