You are previewing Ontology-Based Applications for Enterprise Systems and Knowledge Management.
O'Reilly logo
Ontology-Based Applications for Enterprise Systems and Knowledge Management

Book Description

Throughout the past decade, the notion of ontologies has influenced research in many application areas including databases, information retrieval, electronic commerce, natural language processing, knowledge management, enterprise systems, systems analysis and design, the Web, and more. Ontology-Based Applications for Enterprise Systems and Knowledge Management provides an opportunity for readers to clearly understand the notion of ontology engineering and the practical aspects of this approach in the domains of two interest areas: Knowledge Management Systems and Enterprise Systems. A perfect reference for researchers, scholars, postgraduate students, and practitioners, this book aims to gather the recent advances and research findings of various topics in ontology use for these application areas.

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. Preface
  7. Section 1: Role of Ontology-Based KM for ES
    1. Chapter 1: Knowledge Management Processes in Enterprise Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHOD
      5. RESULTS
      6. DISCUSSION
      7. CONCLUSION
    2. Chapter 2: Structuring Knowledge for Enterprise Resource Planning Implementation through an Ontology
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CONCEPTUAL FRAMEWORK
      4. LITERATURE REVIEW
      5. THE ONTOLOGY-BUILDING PROCESS
      6. THE RESULTS
      7. CONCLUSION AND FUTURE RESEARCH
    3. Chapter 3: Establishing and Verifying a Risk Ontology for Surfacing ERP Post-Implementation Risks
      1. ABSTRACT
      2. INTRODUCTION
      3. THE CRITICAL LITERATURE REVIEW PROCESS
      4. ESTABLISHMENT OF THE RISK ONTOLOGY FOR ERP EXPLOITATION
      5. VALIDATING THE RISK ONTOLOGY IN THE CHINESE CONTEXT
      6. REFLECTION ON THE ONTOLOGY ESTABLISHMENT AND VERIFICATION PROCESS
      7. CONCLUSION
    4. Chapter 4: Representation of Action is a Primary Requirement in Ontologies for Interoperating Information Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. PRIMACY OF ACTIONS
      4. INDIVIDUALS ARE REAL
      5. RELATIONSHIPS AMONG ACTIONS AND INDIVIDUALS
      6. CONCLUSION
    5. Chapter 5: Challenges to ES Success
      1. ABSTRACT
      2. INTRODUCTION
      3. KNOWLEDGE INTEGRATION FOR ES OPERATIONALIZATION: WHY?
      4. KNOWLEDGE INTEGRATION FROM THE VIEW OF KNOWLEDGE-BASED THEORY OF THE FIRM
      5. THE POSITIVE IMPACT OF KI ON ES SUCCESS
      6. METHOD
      7. RESEARCH MODEL
      8. RESULTS AND ANALYSIS
      9. DISCUSSION OF THE FINDINGS
      10. A REQUIREMENT FOR ONTOLOGICAL KNOWLEDGE INTEGRATION
      11. SUMMARY
    6. Chapter 6: Phases in Ontology Building Methodologies
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODOLOGY, METHODS, AND TECHNIQUES
      4. ONTOLOGY ENGINEERING AND METHODOLOGIES FOR DEVELOPING ONTOLOGY
      5. DISCUSSION AND OUR PROPOSED PHASES
      6. ANALYSIS OF THE PAPERS
      7. CONCLUSION
  8. Section 2: General Application of KM
    1. Chapter 7: Knowledge Management Processes Supported by Ontology Technologies
      1. ABSTRACT
      2. INTRODUCTION
      3. ONTOLOGIES AND RELATED PROCESSES
      4. APPLICATION OF ONTOLOGIES IN KNOWLEDGE MANAGEMENT SYSTEMS
      5. ONTOLOGY BASED KNOWLEDGE MANAGEMENT ARCHITECTURE
      6. CONCLUSION
    2. Chapter 8: Ontology for Database Preservation
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE APPROACH
      5. CONCLUSION AND FUTURE RESEARCH DIRECTIONS
    3. Chapter 9: Ontologies in Expertise Finding Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. KNOWLEDGE MANAGEMENT ANALYSIS USING AGENT-ORIENTED MODELING
      5. EXPERT PROFILING AND RECOMMENDATION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
    4. Chapter 10: Ontology-Based Service Description, Discovery, and Matching in Distributed Embedded Real-Time Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. WEB ONTOLOGY LANGUAGE FOR WEB SERVICES (OWL-S)
      4. THE PROPOSED MECHANISM
      5. THE EXPERIMENT
      6. RELATED WORK AND DISCUSSION
      7. CONCLUSION
    5. Chapter 11: Supporting Domain Ontology through a Metamodel
      1. ABSTRACT
      2. INTRODUCTION
      3. KEY CONCEPTS
      4. ROLE OF THE DEVELOPMENT OF DISASTER MANAGEMENT METAMODEL AGAINST DISASTER MANAGEMENT ONTOLOGY
      5. REPRESENTING DISASTER MANAGEMENT KNOWLEDGE IN THE DISASTER MANAGEMENT METAMODEL
      6. CONCLUSION
    6. Chapter 12: SEMblog
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE SEMblog METHODOLOGY
      5. DISCUSSION
      6. THE SEMblog SYSTEM
      7. CONCLUSION
    7. Chapter 13: Managing Lessons Learned
      1. ABSTRACT
      2. INTRODUCTION
      3. EVALUATION FRAMEWORK AND RATIONALE FOR SELECTED CRITERIA
      4. EVALUATION OF LESSONS LEARNED SYSTEMS
      5. DISCUSSION
      6. DOMAIN ENGINEERING AND ONTOLOGY AS SPECIFICATION MECHANISM
      7. CONCLUSION
    8. Chapter 14: Design and Implementation of Product Structure Ontology
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THE DEVELOPMENT AND DESIGN OF PRODUCT STRUCTURE ONTOLOGY
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
    9. Chapter 15: Ontology Development for ETL Process Design
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ONTOLOGY-ORIENTED APPROACH
      5. ONTOLOGY DEVELOPMENT PROCESS
      6. CASE STUDY: STUDENT AFFAIRS AREA IN THE UNIVERSITY DOMAIN
      7. ONTOLOGY VALIDATION
      8. DISCUSSION
      9. CONCLUSION
    10. Chapter 16: A Study of Ontology Construction
      1. ABSTRACT
      2. INTRODUCTION
      3. ONTOLOGY ENGINEERING
      4. ESTABLISHING SHARED UNDERSTANDING ON COMPLIANCE MANAGEMENT
      5. ONTOLOGY DEVELOPMENT
      6. FUTURE WORK AND CONCLUSION
    11. Chapter 17: On the Relationship between Ontology-Based and Holistic Representations in a Knowledge Management System
      1. ABSTRACT
      2. INTRODUCTION
      3. CONTENT AND KNOWLEDGE MANAGEMENT CHARACTERISTICS
      4. FOUNDATIONS FOR ONTOLOGY-BASED AND HOLISTIC REPRESENTATIONS
      5. COMBINING HOLISTIC AND ONTOLOGY-BASED CONTENT DESCRIPTIONS
      6. CONCLUSION
      7. FUTURE RESEARCH DIRECTIONS
    12. Chapter 18: An Approach for Biological Data Integration and Knowledge Retrieval based on Ontology, Semantic Web Services Composition, and AI Planning
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SEMANTIC WEB APPROACH FOR DATA INTEGRATION
      5. WEB SERVICES COMPOSITION TO KNOWLEDGE RETRIEVAL
      6. CONCLUSION AND FUTURE RESEARCH DIRECTION
    13. Chapter 19: Ontology-Based Virtual Communities Model for the Knowledge Management System Environment
      1. ABSTRACT
      2. INTRODUCTION
      3. VIRTUAL COMMUNITIES
      4. ONTOLOGY DESIGN
      5. ONTOLOGY-BASED VIRTUAL COMMUNITIES MODEL
      6. CONCLUSION
  9. Compilation of References
  10. About the Contributors