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Semantic Web

Book Description

Semantic web continues to be an increasingly important system for allowing end-users to share and communicate information online. Semantic Web: Ontology and Knowledge Base Enabled Tools, Services and Application focuses on the information systems discipline and the tools and techniques utilized for the emerging use of semantic web. Covering topics on semantic search, ontologies, and recommendation systems, this publication is essential for academics, practitioners, and industry professionals.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Preface
    1. SECTION 1: ONTOLOGY ENGINEERING AND KNOWLEDGE MANAGEMENT
    2. SECTION 2: REASONING AND ONTOLOGY DEVELOPMENT
    3. SECTION 3: WEB OF DATA AND APPLICATIONS
    4. RECENT PROGRESS AND UPCOMING CHALLENGES
  5. Section 1: Ontology Engineering and Knowledge
    1. Chapter 1: Online Semantic Knowledge Management for Product Design Based on Product Engineering Ontologies
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SEMANTIC WEB TECHNOLOGIES
      5. OBJECTIVE AND SOLUTION
      6. DESCRIPTION OF HOST HYBRID-DATA REPOSITORY COMPONENT
      7. DESCRIPTION OF EXTERNAL PUBLIC LINKED DATA (EPLD) COMPONENT
      8. DESCRIPTION OF SEMANTIC DATA MANAGEMENT ENGINE (SDME) COMPONENT
      9. DESCRIPTION OF WEB-BASED INTERFACE FOR VISUALIZATION OF SEMANTIC DATA
      10. CASE STUDY USING THE PD-SKMS FOR A DESIGN TASK
      11. CONCLUSION
      12. FUTURE WORK
    2. Chapter 2: A Theory of Social Agentivity and its Integration into the Descriptive Ontology for Linguistic and Cognitive Engineering
      1. ABSTRACT
      2. INTRODUCTION
      3. THE MEANING OF “SOCIAL” AND THE EXISTENCE OF SOCIAL OBJECTS
      4. PROBLEMS WITH AGENTIVITY IN DOLCE
      5. A THEORY OF SOCIAL ACTIONS AND SOCIAL AGENTIVITY
      6. PRELIMINARY FORMALIZATION OF THE PROPOSED ONTOLOGY
      7. THE THEORY IN USE
      8. CONCLUSION
    3. Chapter 3: AL-QuIn
      1. ABSTRACT
      2. INTRODUCTION
      3. CONCLUSION
  6. Section 2: Reasoning and Ontology Development
    1. Chapter 4: Semi-Automatic Ontology Construction by Exploiting Functional Dependencies and Association Rules
      1. ABSTRACT
      2. INTRODUCTION
      3. DEFINITIONS AND RELATED NOTATION
      4. THE DEPENDENCY-DRIVEN ONTOLOGY GENERATOR
      5. EXPERIMENTAL RESULTS
      6. CONCLUSION AND FUTURE WORK
    2. Chapter 5: Concept Induction in Description Logics Using Information-Theoretic Heuristics
      1. ABSTRACT
      2. 1 INTRODUCTION
      3. 2 REPRESENTATION ESSENTIALS
      4. 3 LEARNING AS SEARCH IN DESCRIPTION LOGICS
      5. 4 THE LEARNING ALGORITHM
      6. 5 EMPIRICAL EVALUATION
      7. 6 CONCLUSIONS AND OUTLOOK
    3. Chapter 6: Using Similarity-Based Approaches for Continuous Ontology Development
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. ALGORITHMS
      5. EVALUATION
      6. DATA SETS
      7. EVALUATION METHODOLOGY
      8. EXPERIMENTAL METRICS
      9. EXPERIMENTAL RESULTS
      10. EXPERIMENTAL RESULTS FROM ALGORITHM 1
      11. EXPERIMENTAL RESULTS FROM ALGORITHM 2
      12. EXPERIMENTAL RESULTS FROM ALGORITHM 3
      13. EXPERT EVALUATION
      14. DISCUSSION
      15. CONCLUSION AND FUTURE WORK
    4. Chapter 7: A Modal Defeasible Reasoner of Deontic Logic for the Semantic Web
      1. ABSTRACT
      2. INTRODUCTION
      3. DEFEASIBLE LOGIC
      4. MODAL AND DEONTIC LOGIC
      5. MODAL DEFEASIBLE LOGIC
      6. IMPLEMENTATION
      7. RELATED WORK
      8. CONCLUSION AND FUTURE WORK
  7. Section 3: Web of Data and Applications
    1. Chapter 8: Data Linking for the Semantic Web
      1. ABSTRACT
      2. INTRODUCTION
      3. PROBLEM FORMULATION
      4. MAPPINGS AND THEIR MEANING
      5. INSTANCE MATCHING TECHNIQUES
      6. VALUE MATCHING
      7. INDIVIDUAL MATCHING
      8. DATASET MATCHING
      9. DATA LINKING SYSTEMS
      10. OPEN PROBLEMS AND CONCLUDING REMARKS
    2. Chapter 9: ACRONYM
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. MOTIVATION: USEFUL RECALL CUES
      4. 4. ACRONYM ANNOTATION FRAMEWORK
      5. 5. USE CASE: PHOTOGRAPH ANNOTATION
      6. 6. RECOMMENDATION ALGORITHMS
      7. 7. EVALUATION
      8. 8. CONCLUSION
    3. Chapter 10: An Enhanced Semantic Layer for Hybrid Recommender Systems
      1. ABSTRACT
      2. 1. INTRODUCTION
      3. 2. RELATED WORK: SEMANTICS IN RECOMMENDER SYSTEMS
      4. 3. KNOWLEDGE REPRESENTATION
      5. 4. RECOMMENDATION METHODS
      6. 5. NEWS@HAND
      7. 6. EXPERIMENTS
      8. 7. CONCLUSION AND FUTURE WORK
    4. Chapter 11: Numeric Query Answering on the Web
      1. ABSTRACT
      2. MOTIVATION
      3. HYPOTHESIS
      4. RELATED WORK
      5. ARCHITECTURE
      6. STATISTICAL FOUNDATION
      7. EXAMPLE ANALYSIS
      8. BASELINE AND THREE EXPERIMENTAL CONDITIONS
      9. KNOWN ISSUES AND FUTURE RESEARCH
      10. CONCLUSION
    5. Chapter 12: Semantics Discovery via Human Computation Games
      1. ABSTRACT
      2. INTRODUCTION
      3. SEMANTIC ACQUISITION TECHNIQUES
      4. GAMES WITH A PURPOSE
      5. LITTLE SEARCH GAME PRINCIPLES
      6. GAME DEPLOYMENT
      7. TERM NETWORK VALIDATION
      8. HIDDEN RELATIONSHIPS
      9. CONCLUSION AND FUTURE WORK
  8. Compilation of References
  9. About the Contributors