Information Modelling and Knowledge Bases XV 1st Edition by Yasushi Kiyoki, Eiji Kawaguchi, Hannu Jaakkola, Hannu Kangassalo ISBN 1586033964 9781586033965

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Product details:
ISBN 10: 1586033964
ISBN 13: 9781586033965
Author: Yasushi Kiyoki, Eiji Kawaguchi, Hannu Jaakkola, Hannu Kangassalo

This book provides research communities in Europe and Japan with an overview of scientific results and experiences achieved using innovative methods and approaches in computer science and other disciplines, which have a common interest in understanding and solving problems on information modelling and knowledge bases, as well as applying the results of research to practice. The topics of research covered in this book mainly concentrate on a variety of themes in the domain of theory and practice of information modelling, conceptual modelling, design and specification of information systems, software engineering, databases and knowledge bases. We also aim to recognize and study new areas of modelling and knowledge bases to which more attention should be paid. Therefore philosophy and logic, cognitive science, knowledge management, linguistics and management science are relevant areas, too.

IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields.

Information Modelling and Knowledge Bases XV 1st Edition Table of contents:

Part I: Foundations of Information Modeling

2. Concepts and Principles of Information Modeling

   • Defining Information Modeling and Knowledge Representation
   • Models and Structures in Information Systems
   • Ontologies and their Role in Knowledge Bases
   • Data Types and Relationships in Modeling
   • Theoretical Frameworks for Information Modeling

3. Methods of Knowledge Representation

   • Semantic Networks and Graph-Based Representation
   • Frames and Logic-Based Representations
   • Description Logics for Structured Knowledge
   • Contextual and Situated Knowledge Representation
   • Modeling Complex Systems Using Knowledge Representation

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Part II: Knowledge Base Development and Management

4. Building and Managing Knowledge Bases

   • Designing Knowledge Bases for Complex Data
   • Knowledge Base Construction Techniques
   • Methods for Knowledge Extraction and Integration
   • Knowledge Representation Standards and Tools
   • Challenges in Knowledge Base Development

5. Ontology Engineering and Applications

   • Principles of Ontology Engineering
   • Tools and Technologies for Ontology Development
   • Applications of Ontologies in Knowledge-Based Systems
   • Case Studies: Ontologies in Health Informatics, E-Commerce, and AI
   • Integrating Ontologies into Knowledge Management Systems

6. Knowledge Base Maintenance and Evolution

   • Techniques for Updating and Evolving Knowledge Bases
   • Handling Inconsistent and Uncertain Information
   • Approaches for Knowledge Refinement and Feedback
   • Case Studies in Knowledge Base Evolution and Management

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Part III: Advanced Techniques and Applications

7. Advanced Information Modeling Methods

   • Multi-Modeling Approaches in Complex Systems
   • Hybrid Modeling Techniques for Knowledge Integration
   • Temporal and Spatial Information Modeling
   • Model Checking and Verification Methods
   • Simulation and Analysis of Modeled Data

8. Knowledge Discovery and Data Mining

   • Knowledge Discovery in Large Databases
   • Data Mining Techniques for Knowledge Extraction
   • Machine Learning Approaches to Knowledge Discovery
   • Combining Knowledge-Based and Data-Driven Approaches
   • Case Studies in Knowledge Discovery and Data Mining

9. Intelligent Systems and Knowledge-Based Decision Support

   • Knowledge-Based Decision Support Systems
   • Integrating AI and Expert Systems into Decision Support
   • Techniques for Intelligent Knowledge Retrieval
   • Human-Computer Interaction in Knowledge-Based Systems
   • Real-World Applications of Intelligent Systems in Healthcare, Finance, and Industry

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Part IV: The Future of Information Modeling and Knowledge Bases

10. Emerging Trends in Information Modeling and Knowledge Bases

    • The Impact of Big Data on Knowledge Management
    • Knowledge Graphs and Their Growing Importance
    • Advances in Natural Language Processing for Knowledge Representation
    • The Role of Semantic Web Technologies in Knowledge Sharing
    • Future Directions in Information Modeling and Knowledge Engineering

11. Challenges and Opportunities in Knowledge Representation

    • Managing Complexity in Large-Scale Knowledge Bases
    • The Ethical and Societal Implications of Knowledge Systems
    • Knowledge Representation in the Context of Autonomous Systems
    • Collaborative Knowledge Modeling and Open Access Knowledge Bases
    • Future Challenges in Interdisciplinary Knowledge Modeling

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