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Semantic Technologies for Business and Information Systems Engineering

Book Description

Semantic Technologies for Business and Information Systems Engineering: Concepts and Applications investigates the application of semantic technologies to business and information systems engineering. This reference work assists researchers in academia and industry, students, business process analysts, information management professionals, software engineers, and other practitioners in gaining knowledge on applying semantic technologies for advanced business information systems, in annotating semantics to business processes, and in semantically integrating advanced business information systems.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
  5. Preface
  6. Acknowledgment
  7. Section 1: Models and Methods
    1. Chapter 1: Ontologies and Controlled Vocabulary
      1. Abstract
      2. INTRODUCTION
      3. THE CATEGORIES FOR ANALYSIS
      4. METHODOLOGIES ASSESSED
      5. COMPARATIVE ANALYSIS
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    2. Chapter 2: An Ontology-Based Method to Construct a Reference Model Catalogue for the Energy Sector
      1. Abstract
      2. INTRODUCTION TO SMART GRIDS
      3. THE ENERGY REFERENCE MODEL CATALOGUE: ENERGY-RMC
      4. ONTOLOGY-BASED METHOD FOR THE CONSTRUCTION OF THE ENERGY-RMC
      5. EXAMPLES ON THE INTEGRATION OF SOURCES INTO THE ENERGY-RMC
      6. EVALUATION OF THE METHODS USING DESIGN SCIENCE
      7. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    3. Chapter 3: Ontological Evaluation of Scheer’s Reference Model for Production Planning and Control Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. THEORETICAL BACKGROUND
      4. METHOD FOR ONTOLOGICAL EVALUATION
      5. CRITICAL DISCUSSION
      6. CONCLUSION AND FUTURE RESEARCH
  8. Section 2: Data and Knowledge Management
    1. Chapter 4: Heterogeneous Text and Numerical Data Mining with Possible Applications in Business and Financial Sectors
      1. Abstract
      2. INTRODUCTION
      3. LITTERATURE REVIEW ON HETEROGENEOUS DATA TYPES MINING
      4. PROPOSED APPROACH: HETEREGENEOUS DATA MINING USING UNIFIED VECTORIZATION
      5. PRE-PROCESSING
      6. DATA MINING
      7. CONCLUSION
    2. Chapter 5: Semantic Integration of Structured and Unstructured Data in Data Warehousing and Knowledge Management Systems
      1. Abstract
      2. INTRODUCTION AND MOTIVATION
      3. FUTURE RESEARCH AND CONCLUSION
    3. Chapter 6: Enhancing the Personal Knowledge Management with Semantic Desktop Technologies
      1. ABSTRACT
      2. INTRODUCTION
      3. PERSONAL KNOWLEDGE MANAGEMENT
      4. SEMANTIC DESKTOP CONCEPT
      5. SCAN SEMANTIC DESKTOP
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
  9. Section 3: Semantic Technologies in Conceptual Modeling
    1. Chapter 7: Supporting Conceptual Model Analysis Using Semantic Standardization and Structural Pattern Matching
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. A GENERIC MODEL ANALYSIS APPROACH
      5. Experiences, Conclusion and Outlook
    2. Chapter 8: Semantic Verification of Business Process Models
      1. Abstract
      2. INTRODUCTION
      3. RELATED WORK
      4. CASE STUDY
      5. ONTOLOGY-DRIVEN APPROACH FOR SEMANTIC VERIFICATION
      6. APPLICATION TO THE CASE PROBLEMS
      7. LIMITATIONS OF SEMANTIC VERIFICATION
      8. CONCLUSION AND FUTURE RESEARCH
    3. Chapter 9: Automated Planning of Process Models
      1. Abstract
      2. INTRODUCTION
      3. REQUIREMENTS FOR PROCESS PLANNING AND RELATED WORK
      4. SEMANTIC-BASED PLANNING OF PROCESS MODELS
      5. RESULTS AND FURTHER RESEARCH
    4. Chapter 10: Stepwise Semantic Enrichment in Health-Related Public Management by Using Semantic Information Models
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. AN APPROACH FOR A STEPWISE SEMANTIC ENRICHMENT OF CONCEPTUAL MODELS
      5. FUTURE RESEARCH DIRECTIONS
      6. Conclusion
  10. Section 4: Semantic Process Description
    1. Chapter 11: EPCs Annotated with Lexical and Semantic Labels to Bridge the Gap between Human Understandability and Machine Interpretability
      1. Abstract
      2. INTRODUCTION
      3. RELATED WORK
      4. CONCLUSION
      5. Appendix A: Abbreviations
      6. Appendix B: Template BINDING POLICIES
      7. Appendix C: Lexical and Semantic Templates
    2. Chapter 12: Semantic Annotation of Business Process Templates
      1. ABSTRACT
      2. Introduction
      3. SEMANTIC ANNOTATION STRUCTURE FOR PROCESS TEMPLATES
      4. APPLICATION OF SEMANTIC ANNOTATION
      5. CASE STUDY
      6. CONCLUSION AND FUTURE WORK
    3. Chapter 13: Semantically Enhanced Business Process Modeling Notation
      1. Abstract
      2. INTRODUCTION
      3. Background
      4. Ontologies to Support the Semantic Business Process Management Vision
      5. Semantically Enhanced Business Process Modelling Notation
      6. Use Case Scenario
      7. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
  11. Section 5: Services and Workflows
    1. Chapter 14: Functional Components Specification in the Semantic SOA-Based Model
      1. Abstract
      2. INTRODUCTION
      3. FUNCTIONAL COMPONENTS SPECIFICATION OF THE SEMANTIC SOA-BASED MODEL
      4. WS-ASSEMBLAGE ONTOLOGY SPECIFICATION
      5. Related Work
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    2. Chapter 15: Semantic-Enabled Compliance Management
      1. Abstract
      2. INTRODUCTION
      3. BUSINESS PROCESS COMPLIANCE
      4. SOLUTIONS AND RECOMMENDATIONS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    3. Chapter 16: Semantic Policies for Modeling Regulatory Process Compliance
      1. Abstract
      2. INTRODUCTION
      3. BACKGROUND
      4. Approach: Policy and Rule Ontology for compliance
      5. A Semantic Framework of Policies and Rules
      6. RELATED WORK AND FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    4. Chapter 17: A Broader View on Context Models towards Supporting Business Process Agility
      1. Abstract
      2. INTRODUCTION
      3. ENTERPRISE CONTEXT
      4. CONCLUSION
  12. About the Contributors
  13. Index