Ontology in Information Science
About this book
The book on Ontology in Information Science explores a broad set of ideas and presents some of the state-of-the-art research in this field concisely in 12 chapters. This book provides researchers and practitioners working in the field of ontology and information science an opportunity to share their theories, methodologies, experiences, and experimental results related to ontology development and application in various areas. It also includes the design aspects of domain ontologies considering the architecture, development strategy, and selection of tools. The intended audience of this book will mainly consist of researchers, research students, and practitioners in the field of ontology and information science.
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Table of contents
- Ontology in Information Science
- Contents
- Preface
- Chapter 1 Information Architecture for Organizations: An Ontological Approach
- Chapter 2 Ontology for Application Development
- Chapter 3 Examples of Ontology Model Usage in Engineering Fields
- Chapter 4 Towards Semantic Knowledge Maps Applications: Modelling the Ontological Nature of Data and Information Governance in a R&D Organization
- Chapter 5 E‐Service Composition Ontology
- Chapter 6 Ontology in IT Projects Based on OSM
- Chapter 7 Ontology: Core Process Mining and Querying Enabling Tool
- Chapter 8 Generating Scientifically Proven Knowledge about Ontology of Open Systems. Multidimensional Knowledge-Centric System Analytics
- Chapter 9 Semantic Remote Sensing Scenes Interpretation and Change Interpretation
- Chapter 10 Systematic Unfoldment of Differential Ontology from Qualitative Concept of Information
- Chapter 11 Strengthening the Flow of Agricultural Knowledge among Agricultural Stakeholders: The Case of Morogoro Region in Tanzania
- Chapter 12 Information Transfer and Thermodynamic Point of View on Goedel Proof
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