You are previewing Progressive Concepts for Semantic Web Evolution: Applications and Developments.
O'Reilly logo
Progressive Concepts for Semantic Web Evolution: Applications and Developments

Book Description

Progressive Concepts for Semantic Web Evolution: Applications and Developments unites research on essential theories, models, and applications of Semantic Web research. Contributions focus on mobile ontologies and agents, fuzzy databases, and new approaches to retrieval and evaluation in the Semantic Web.

Table of Contents

  1. Copyright
  2. Editorial Advisory Board
  3. Preface
  4. 1. Evaluating Semantic Web Service Technologies: Criteria, Approaches and Challenges
    1. ABSTRACT
    2. INTRODUCTION
    3. SWS EVALUATION CRITERIA
      1. Performance / Scalability
      2. Usability / Effort
      3. Correctness
      4. Coupling
      5. Supported Scope and Automation
    4. CURRENT EVALUATION INITIATIVES
      1. S3 Contest on Semantic Service Selection
      2. Semantic Web Services Challenge
      3. WS Challenge
      4. DIANE Benchmark
      5. Other Approaches
    5. ANALYSIS OF EVALUATION METRICS AND MEASURES
      1. Performance / Scalability
        1. Status
        2. Discussion and Suggestions for Improvements
        3. Conclusions
      2. Usability / Effort
        1. Status
        2. Discussion and Suggestions for Improvement
        3. Conclusions
      3. Correctness
        1. Status
        2. Discussion and Suggestions for Improvement
        3. Conclusions
      4. Coupling
        1. Status
        2. Discussion and Suggestions for Improvements
        3. Conclusions
      5. Scope and Automation
        1. Status
        2. Conclusions
    6. SUMMARY AND DIRECTIONS FOR FUTURE RESEARCH
      1. Summary of the Status
      2. Building Standard SWS Test Collections
      3. Making Evaluations More Reliable
      4. Unifying Existing Evaluation Approaches
      5. Further Activities
    7. ACKNOWLEDGMENT
    8. REFERENCES
    9. ENDNOTES
  5. 2. Semantic Web Services and Mobile Agents Integration for Efficient Mobile Services
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND KNOWLEDGE
    4. RELATED WORK
    5. FRAMEWORK ARCHITECTURE
      1. User Service Requestor (USR)
      2. Mobile Agent (MA)
      3. Provider Stationary Agent (PSA)
      4. Registry Stationary Agent (RSA)
      5. Semantic Web Services Registry (SWSR)
      6. Web Service Provider (WSP)
      7. Service Usage Description
    6. PERFORMANCE EVALUATION
    7. CONCLUSION
    8. REFERENCES
  6. 3. Mobile Ontologies: Concept, Development, Usage, and Business Potential
    1. ABSTRACT
    2. INTRODUCTION
    3. ONTOLOGY AND EPISTEMOLOGY
    4. ONTOLOGIES IN COMPUTER SCIENCE
    5. MOBILE ONTOLOGIES
    6. DEVELOPING MOBILE ONTOLOGIES
    7. ONTOLOGY SHOPPING
    8. CONCLUSION
    9. ACKNOWLEDGMENT
    10. REFERENCES
  7. 4. Service Provisioning through Real World Objects
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
      1. The PERCI System
      2. Representing the Service
      3. Content of the Tags
      4. Managing the Interaction with the Service
      5. Implementation
    4. DISCUSSION
      1. Properties of PERCI
      2. Usability and User Experience
    5. CONCLUSION
    6. REFERENCES
    7. ENDNOTE
  8. 5. Semantic-Based Bluetooth-RFID Interaction for Advanced Resource Discovery in Pervasive Contexts
    1. ABSTRACT
    2. INTRODUCTION AND MOTIVATION
      1. Basics
      2. Exploiting Semantically Annotated Descriptions
      3. Semantic-Based Bluetooth Service Discovery
      4. RFID Features
    3. FRAMEWORK AND APPROACH
      1. Semantic-Enhanced EPCGlobal RFID Standard
      2. Deploying the Approach
      3. Coping with Verbose Descriptions
    4. PROTOTYPE FRAMEWORK
      1. Simulation Test Bed
      2. Example Scenario
    5. EXPERIMENTAL RESULTS
      1. Compression Algorithm
      2. Impact of Compression Over Bluetooth Performance
      3. Access Time of Simulated Semantic-Enhanced RFID Tag
      4. Semantic Matchmaking Processing Computation
    6. RELATED WORK
    7. CONCLUSION AND FUTURE WORK
    8. REFERENCES
    9. ENDNOTES
  9. 6. In Defense of Ambiguity Redux
    1. ABSTRACT
    2. THE IDENTITY CRISIS ON THE WEB
    3. REFERENCE AND ACCESS
    4. REFERENCE IS INHERENTLY AMBIGUOUS
    5. IF AMBIGUITY IS INEVITABLE, LET'S MAKE LEMONADE
    6. DISTINGUISHING BETWEEN REFERENCE AND ACCESS ON THE WEB
    7. AMBIGUITY REDUX WITH LINKED DATA
    8. REFERENCES
  10. 7. Identity of Resources and Entities on the Web
    1. ABSTRACT
    2. INTRODUCTION
    3. HISTORY
    4. ISSUES IN THE PROBLEM SPACE
    5. THE IRE METAMODEL
    6. THE SOLUTION SPACE
      1. The Solution Domain in Terms of IRE
    7. CONCLUSION AND REMARKS
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ENDNOTES
  11. A. APPENDIX: FOL FORMALIZATION OF IRE
  12. 8. Ontological Indeterminacy and the Semantic Web or Why the Controversy Over Same-Sex Marriage Poses A Fundamental Problem for Current Semantic Web Architecture
    1. ABSTRACT
    2. INTRODUCTION
      1. The Ontology-Mediated View of Semantic Web Reference/Meaning
      2. Overview of the Chapter
      3. The Marriage Use-Case in a Nutshell
      4. Motivation
    3. CORRESPONDENCE VERSUS HOLISM
      1. Two Philosophical Visions of the Relationship between Language and Reality
      2. Fully Determinate Reality versus Ontological Indeterminacy
      3. Critique of Correspondence and the OM view
      4. The OM view and Semantic Web Practice
        1. Two Ontologies of Marriage
        2. Problem in Representing Substantive Conflict
        3. Ontological Overdetermination
      5. Use Case
    4. TOWARDS A MEANING-AS-USE MODEL
      1. Labeling Terms and Their Uses
      2. Intended Usage Records
      3. Use Case Revisited
      4. Avoiding Ontological Overdetermination
    5. DISCUSSION
    6. ACKNOWLEDGMENT
    7. REFERENCES
  13. B. APPENDIX A: TWO ONTOLOGIES
    1. MarriageA.owl
    2. MarriageB.owl
  14. C. APPENDIX B: EXAMPLE USAGE-DICTIONARY SCHEMA
  15. D. APPENDIX C: EXAMPLE INTENDED USAGE RECORD SPECIFICATION
  16. 9. Ontology Driven Document Identification in Semantic Web
    1. ABSTRACT
    2. INTRODUCTION
    3. RELATED WORK
    4. BACKGROUND
      1. Aggregation Mechanism
      2. Hierarchy of Concepts
      3. Ontology
    5. CONCEPT HIERARCHY AS CATEGORY IDENTIFIERS
      1. Structure of Concepts as Category Description
      2. Category Identifiers
    6. HIERARCHY OF CONCEPTS AND ONTOLOGY
      1. Instantiation of Hierarchy of Concepts
      2. Enriching Hierarchy of Concepts
    7. SEMANTIC WEB APPLICATION
      1. System Description
      2. Values of Importance Vector M
      3. Sample Execution
      4. Identification of Documents: Web-Based Experiments
    8. CONCLUSION
    9. REFERENCES
  17. E. APPENDIX: SOCCER ONTOLOGY
  18. 10. A Fuzzy Ontology Generation Framework from Fuzzy Relational Databases
    1. ABSTRACT
    2. INTRODUCTION
    3. PRELIMINARIES
      1. Fuzzy Sets
      2. Fuzzy Relational Databases
    4. FUZZY ONTOLOGY STRUCTURE
      1. Identifying the Structure of Fuzzy Relational Schema
      2. Transformation to Fuzzy Ontology structure
    5. FUZZY RDF DATA MODEL
    6. BRIEF DISCUSSION
    7. CONCLUSION AND OUTLOOK
    8. ACKNOWLEDGMENT
    9. REFERENCES
  19. 11. Tightly Coupled Fuzzy Description Logic Programs under the Answer Set Semantics for the Semantic Web
    1. ABSTRACT
    2. INTRODUCTION
    3. COMBINATION STRATEGIES
    4. FUZZY DESCRIPTION LOGICS
      1. Syntax
      2. Semantics
    5. FUZZY DESCRIPTION LOGIC PROGRAMS
      1. Syntax
      2. Semantics
    6. SEMANTIC PROPERTIES
      1. Minimal Models
      2. Faithfulness
      3. Unique Name Assumption
    7. REDUCTION OF FUZZY DL-PROGRAMS TO DL-PROGRAMS
    8. COMPLEXITY
    9. TRACTABILITY RESULTS
    10. RELATED WORK
    11. CONCLUSION
    12. ACKNOWLEDGMENT
    13. REFERENCES
  20. F. APPENDIX: PROOFS
  21. 12. Evolutionary Conceptual Clustering Based on Induced Pseudo-Metrics
    1. ABSTRACT
    2. INTRODUCTION
    3. SEMANTIC DISTANCE MEASURES
      1. Preliminaries
    4. SEMANTIC SIMILARITY BETWEEN INDIVIDUALS
    5. DISCUSSION
    6. OPTIMIZING THE FEATURE SET
      1. Optimization Through Genetic Programming
      2. Optimization Through Simulated Annealing
    7. EVOLUTIONARY CLUSTERING PROCEDURE
      1. The Evolutionary Clustering Algorithm
    8. DISCUSSION
    9. EVALUATION
      1. Experimental Setup
    10. RESULTS
    11. CONCEPT EVOLUTION IN DYNAMIC ONTOLOGIES
      1. Incremental and Automated Drift and Novelty Detection
      2. Conceptual Clustering for Concept Formation
    12. RELATED WORK
      1. Relational Similarity Measures
      2. Clustering Procedures
    13. CONCLUSION AND POSSIBLE EXTENSIONS
    14. REFERENCES
    15. ENDNOTES
  22. 13. Nested Optional Join for Efficient Evaluation of SPARQL Nested Optional Graph Patterns
    1. ABSTRACT
    2. INTRODUCTION
    3. NESTED OPTIONAL JOIN OPERATOR
    4. NESTED OPTIONAL JOIN ALGORITHMS
      1. Nested-Loops Nested Optional Join Algorithm
      2. Sort-Merge Nested Optional Join Algorithm
      3. Simple Hash Nested Optional Join Algorithm
    5. PERFORMANCE STUDY
      1. Experimental Setup
      2. Dataset
      3. Relational Storage of RDF Data
      4. Test Queries
        1. Experiment I: Comparison of NL-NOJ and NL-LOJ
        2. Experiment II: Comparison of SM-NOJ and SM-LOJ
        3. Experiment III: Comparison of SH-NOJ and SH-LOJ
        4. Experiment IV: Comparison of SH- NOJ, SM-NOJ, and NL-NOJ
        5. Experiment V: Effect of Join Selectivity on the NOJ Algorithm Performance
        6. Experiment VI: Comparison of NL- NOJ-MySQL and NL-LOJ-MySQL
        7. Experiment VII: Comparison of NL-NOJ-MySQL with Sesame 1.2.6 and Jena 2.5.2
      5. Summary
    6. RELATED WORK
    7. CONCLUSIONS AND FUTURE WORK
    8. ACKNOWLEDGMENT
    9. REFERENCES
  23. 14. RTPA: An Associative and Adaptive Network Model for Information Retrieval in the Semantic Web
    1. ABSTRACT
    2. INTRODUCTION
    3. TERMINOLOGY AND RELATED WORK
      1. Terminology
      2. Related Work
    4. AN ASSOCIATIVE INFORMATION RETRIEVAL MODEL FOR THE SEMANTIC WEB
      1. Modeling Semantic Annotation of Documents
      2. Modeling Semantic Similarity of Concepts
      3. Modeling Text-Based Similarity of Documents
      4. Searching the Network
    5. APPLICATION OF THE RETRIEVAL MODEL WITHIN APOSDLE
    6. PARAMETRIZATION OF THE RETRIEVAL MODEL
      1. Measures Used for Weighting the Annotations
      2. Semantic Similarity Measures Used
        1. The Shortest Path Measure
        2. Resnik's Measure (Resnik, 1999)
        3. The Trento Similarity Measure
      3. Text-Based Similarity Measure Used
    7. EVALUATION
      1. Semantic Web Information Retrieval and Evaluation
      2. The Test Corpus
      3. Measures Used For Evaluation
      4. Queries Used For Evaluation
      5. Collecting Relevance Judgments
      6. The Obtained Service Configuration Ranking
      7. Discussion of Service Configuration Ranking
      8. Discussion of the Performed Evaluation
        1. P(10), P(20) and P(30)
        2. infAP
    8. PARAMETER LEARNING USING RELEVANCE FEEDBACK
      1. Extension of the Network Model by Relevance Feedback Based Learning
        1. Network Training using Error-Backppropagation
      2. Variants of the Learning Algorithm
        1. Variant 1: Backprop C — Ĉ — D
        2. Variant 2: Backprop Ĉ - D
      3. Evaluation
        1. Test Corpus
        2. Evaluation Setup
        3. Evaluation Results
    9. CONCLUSIONS AND FUTURE WORK
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. ENDNOTES
  24. Compilation of References
  25. About the Contributors