You are previewing Collaboration and the Semantic Web.
O'Reilly logo
Collaboration and the Semantic Web

Book Description

Collaborative working has been increasingly viewed as a good practice for organizations to achieve efficiency. Organizations that work well in collaboration may have access to new sources of funding, deliver new, improved, and more integrated services, make savings on shared costs, and exchange knowledge, information and expertise. Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources showcases cutting-edge research on the intersections of Semantic Web, collaborative work, and social media research, exploring how the resources of so-called social networking applications, which bring people together to interact and encourage sharing of personal information and ideas, can be tapped by Semantic Web techniques, making shared Web contents readable and processable for machine and intelligent applications, as well as humans. Semantic technologies have shown their potential for integrating valuable knowledge, and they are being applied to the composition of digital learning and working platforms. Integrated semantic applications, linked data, social networks, and networked digital solutions can now be used in collaborative environments and present participants with the context-aware information that they need.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
  6. Foreword
  7. Preface
  8. Acknowledgment
  9. Section 1: Introduction: The Importance of Knowledge Sharing and Collaborative Environment
    1. Chapter 1: Dealing with Structure Heterogeneity in Semantic Collaborative Information Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. QUERYING OF HETEROGENEOUS DATA
      4. AVOIDING SCHEMA HETEROGENEITY DURING INSERTION TIME
      5. CONCLUSION
    2. Chapter 2: Collaborative Mediation
      1. ABSTRACT
      2. INTRODUCTION
      3. COLLABORATION LOOSELY JOINED: SOCIAL SPACES AS A PLATFORM
      4. DIGITAL FINGERPRINTS
      5. COMMON COLLABORATIVE TAGGING WITH AN ENTERPRISE TAGGING SERVICE
      6. CHALLENGES WITH MEDIATION
      7. CONCLUSION
    3. Chapter 3: SpotTheLink
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. ONTOLOGY ALIGNMENT AND THE ROLE OF HUMAN CONTRIBUTIONS
      4. 3. THE SPOTTHELINK GAME
      5. 4. EVALUATION
      6. 5. ENABLING TECHNOLOGY: THE ONTOGAME PLATFORM
      7. 6. GUIDELINES FOR THE DESIGN OF GAMES FOR COLLABORATIVE KNOWLEDGE ENGINEERING
      8. 7. CONCLUSION AND FUTURE WORK
    4. Chapter 4: Knowledge Management
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. METHODOLOGY
      5. RESULTS
      6. CONCLUSION
      7. FUTURE RESEARCH
      8. APPENDIX A
  10. Section 2: Exploiting Semantic Technologies and Principles for Supporting Collaborative and Social Environments
    1. Chapter 5: Enhancing Social Networks with Agent and Semantic Web Technologies
      1. ABSTRACT
      2. INTRODUCTION
      3. MULTI-AGENT SYSTEMS IN INNOVATIVE SCENARIOS OF COLLABORATION
      4. TOWARD AGENT-BASED SEMANTIC SOCIAL NETWORKS
      5. CONCLUSION
    2. Chapter 6: Exploiting Social Media Features for Automated Tag Recommendation
      1. ABSTRACT
      2. 1. RELATED WORK
      3. 2. SYSTEM OVERVIEW
      4. 3. FEATURES IN SOCIAL MEDIA
      5. 4. TAG RECOMMENDATION
      6. 5. EXPERIMENTS AND RESULTS
      7. 6. CONCLUSION
    3. Chapter 7: Semantic Technology for Improved Email Collaboration
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. TOWARDS A SEMANTIC COMMUNICATION SUPPORT SYSTEM
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
  11. Section 3: Acquiring, Querying, and Discovering Knowledge from Collaborative and Social Environments
    1. Chapter 8: The Reflexive Practitioner
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ACTION RESEARCH AND ‘EPISTEMOLOGY OF PRACTICE’
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    2. Chapter 9: Data Mining, Validation, and Collaborative Knowledge Capture
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: SONOCONSULT
      4. DATA MINING, VALIDATION, AND KNOWLEDGE REFINEMENT
      5. EXEMPLARY SONOCONSULT RESULTS
      6. COLLABORATIVE KNOWLEDGE CAPTURE AND REFINEMENT
      7. CONCLUSION
    3. Chapter 10: Hidden Markov Models for Context-Aware Tag Query Prediction in Folksonomies
      1. ABSTRACT
      2. INTRODUCTION
      3. 1. SCRUTINY OF THE RELATED WORK
      4. 2. FOLKSONOMY PRE-PROCESSING
      5. 3. HIDDEN MARKOV MODELS FOR CONTEXT-AWARE TAG QUERY PREDICTION IN FOLKSONOMIES
      6. 5. ILLUSTRATIVE EXAMPLE OF THE PROPOSED APPROACH ON A REAL DATASET
      7. 6. EXPERIMENTAL EVALUATION
      8. CONCLUSION AND FUTURE WORK
    4. Chapter 11: Techniques for Named Entity Recognition
      1. ABSTRACT
      2. INTRODUCTION
      3. TAGGED DATASETS FOR NER
      4. EVALUATION OF NER ALGORITHMS
      5. RULE-BASED NER
      6. SUPERVISED LEARNING APPROACHES
      7. UNSUPERVISED LEARNING APPROACHES
      8. NER IN OTHER LANGUAGES
      9. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
  12. Section 4: Applications
    1. Chapter 12: Ontological Collaboration Engineering
      1. ABSTRACT
      2. INTRODUCTION AND MOTIVATION
      3. STATE OF THE ART IN COLLABORATION ENGINEERING
      4. A GROUP PROCESS MODELING LANGUAGE
      5. RESEARCH ON ONTOLOGICAL COLLABORATION
      6. THE COLLABORATION ONTOLOGY
      7. RESEARCH METHODOLOGY FOR ONTOLOGY ENGINEERING
      8. GOALS AND SCOPE OF THE COLLABORATION ONTOLOGY
      9. DEFINING AND FORMALIZING THE ONTOLOGY
      10. THE ONTOLOGY
      11. THE COLLABORATION ONTOLOGY
      12. THE COLLABORATION PROCESS ONTOLOGY
      13. USING THE COLLABORATION ONTOLOGY
      14. REASONING
      15. A GRAPH-BASED APPROACH TO INFER NEW KNOWLEDGE
      16. GRAPH-BASED RECOMMENDATIONS
      17. SUPPORT PARTICIPANTS
      18. SUPPORT THE MANAGER OF THE COLLABORATION PROCESS
      19. CONCLUSION
    2. Chapter 13: Developing a Web-Based Cooperative Environment to Software Project Development
      1. ABSTRACT
      2. INTRODUCTION
      3. LAYER-1: SUPPORTING CONSTRUCTION OF USER ARTIFACTS
      4. LAYER-2: CONTROLLING SIMULTANEOUS ACCESS TO ARTIFACTS
      5. LAYER-3: SUPPORTING CONNECTION BETWEEN USERS AND AMS
      6. LAYER-4: ARTIFACT MANAGEMENT SYSTEM
      7. IMPLEMENTATION
      8. RELATED WORK AND CONCLUSIONS
    3. Chapter 14: Knowledge Based Business Intelligence for Business User Information Self-Service
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. THE ROLE OF BUSINESS INTELLIGENCE FOR INFORMATION SUPPLY
      4. 3. SHORTCOMINGS OF ANALYTICAL INFORMATION SYSTEMS
      5. 4. SCIENTIFIC QUESTION AND REQUIREMENTS
      6. 5. THE UNDERSTANDING OF ONTOLOGIES
      7. 6. ARCHITECTURE AND CONCEPTS
      8. 7. PROJECT CONTEXT AND EVALUATION
      9. 8. RELATED WORK
      10. 9. CONCLUSION
    4. Chapter 15: Knowledge Worker Performance in a Cross-Industrial Perspective
      1. ABSTRACT
      2. 1 THE CHALLENGE OF KNOWLEDGE WORKER’S PRODUCTIVITY
      3. 2 CONCEPTS OF KNOWLEDGE WORKER PRODUCTIVITY
      4. 3 RESEARCH GAPS AND RESEARCH DESIGN
      5. 4 KNOWLEDGE WORKER PRODUCTIVITY REVISED
      6. 5 IMPLICATIONS FOR MANAGING EXPERT PERFORMANCE
  13. Compilation of References
  14. About the Contributors