Handbook of Metadata, Semantics and Ontologies / Saurabh Pal.

Format:

Book

Author/Creator:

Pal, Saurabh, author.

Language:

English

Subjects (All):

Ontology.

Ontology--Social aspects.

Physical Description:

1 online resource (268 pages)

Edition:

First edition.

Place of Publication:

Burlington, ON : Arcler Press, [2024]

Summary:

This book, authored by Saurabh Pal, serves as a comprehensive guide on the topics of metadata, semantics, and ontologies. It explores the conceptualization and practical applications of semantic metadata, which involves the assignment of meaning to data values and names. The book delves into various types of metadata, including descriptive, structural, and technical, and discusses the value and cost associated with metadata management. It provides a historical perspective on the evolution of ontologies and metadata, examining their roles in system theory and e-learning. The author aims to enhance understanding of how ontologies can be used to manage and integrate data across different domains, making it a valuable resource for computer science professionals, researchers, and academics interested in data management, machine learning, and artificial intelligence. Generated by AI.

Contents:

Cover

HalfTitle Page

Title Page

Copyright

About the Author

Table of Contents

List of Figures

List of Abbreviations

Abstract

Preface

Chapter 1: Typology of Metadata and Metadata Uses

1.1. Introduction

1.2. Descriptive Metadata

1.3. Structural Metadata

1.4. Administrative Metadata

1.5. Preservation Metadata

1.6. Technical Metadata

1.7. Temporal Metadata

Chapter 2: The Value and Cost of Metadata

2.1. Introduction

2.2. Understanding Metadata

2.3. Value of Metadata

2.4. Drawbacks of Metadata

2.5. The Cost of Metadata

2.6. Best Practices For Metadata Creation and Management

Chapter 3: History of Ontologies

3.1. Ancient Greek History

3.2. Hindu Philosophy

3.3. Medieval

3.4. Modern

3.5. 20th Century

Chapter 4: Brief History of Metadata

4.1. Introduction

4.2. History of Metadata

Chapter 5: Metadata Quality

5.1. Introduction

5.2. Challenges in Approaching Quality Questions

5.3. Quality Metrics and Measurements

5.4. Defining the Metadata Levels of Quality

5.5. Improving the Quality of Metadata Currently and in the Future

5.6. Quality Assessment Frameworks

Chapter 6: Ontologies in System Theory

6.1. Introduction

6.2. Conceptual Foundations of Ontologies in System Theory

6.3. Types of Ontologies Used in System Theory

6.4. Ontology Development Process For System Theory

6.5. Application of Ontologies in System Modeling and Simulation

6.6. Ontology-Based Knowledge Representation in System Theory

6.7. Ontology Mapping and Integration in System Theory

Chapter 7: Technologies and Systems for Managing Metadata

7.1. Introduction

7.2. Understanding Metadata Management

7.3. Metadata Management Challenges

7.4. Technologies and Metadata Management

7.5. Metadata Management Systems.

Chapter 8: Ontologies and Ontology Languages

8.1. Introduction

8.2. A Metadata Glossary From Controlled Vocabularies to Ontologies

8.3. Ontology Languages

8.4. Components of Ontology

8.5. Types of Ontology

Chapter :9 Using Metadata for E-Learning

9.1. Introduction

9.2. Content Organization and Categorization

9.3. Search and Discovery

9.4. Personalized Recommendations

9.5. Competency Mapping

9.6. Progress Tracking and Reporting

9.7. Integration With Learning Management Systems

9.8. Quality Assurance and Content Evaluation

9.9. Accessibility Considerations

Chapter 10: Methodologies for the Creation of Semantic Data in Libraries

10.1. Understanding Semantic Data

10.2. Methodologies For Semantic Data Creation

Bibliography

Back Cover

Index.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781774699881

1774699885

OCLC:

1446130037