Exploring Semantic Technologies and Their Application to Nuclear Knowledge Management  
Published by International Atomic Energy Agency
Publication Date:  Available in all formats
ISBN: 9789201146205
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Within the nuclear field, a vast body of knowledge, involving scientific, technical and managerial fields, is distributed among many organizations of different types. Managing and provisioning distributed knowledge is therefore becoming one of the major challenges in federated organizational environments. This publication provides information to organizations dealing with nuclear knowledge and its management. It covers an introduction to semantic information technologies, the Worldwide Web standards developed for interoperability, the construction of knowledge bases on the basis of distributed knowledge, and the development of knowledge driven applications. In addition to providing insight into the development of distributed knowledge bases, the intent of this publication is to provide examples of applications of semantic technologies specifically in the nuclear field.
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Within the nuclear field, a vast body of knowledge, involving scientific, technical and managerial fields, is distributed among many organizations of different types. Managing and provisioning distributed knowledge is therefore becoming one of the major challenges in federated organizational environments. This publication provides information to organizations dealing with nuclear knowledge and its management. It covers an introduction to semantic information technologies, the Worldwide Web standards developed for interoperability, the construction of knowledge bases on the basis of distributed knowledge, and the development of knowledge driven applications. In addition to providing insight into the development of distributed knowledge bases, the intent of this publication is to provide examples of applications of semantic technologies specifically in the nuclear field.
Table of contents
  • 1. Introduction
    • 1.1. Background
    • 1.2. Objective
    • 1.3. Scope
    • 1.4. Structure
  • 2. Overview of Semantic Technologies in Knowledge Management
    • 2.1. The impact of semantic technologies on knowledge management
    • 2.2. Knowledge management under conditions of distributed knowledge
  • 3. Managing Distributed Knowledge
    • 3.1. Organizing distributed knowledge
      • 3.1.1. Trends in knowledge organization
      • 3.1.2. Classifying knowledge organization systems
      • 3.1.3. Designing interoperable KOSs
    • 3.2. Enabling interoperability with semantic web technologies
      • 3.2.1. Semantic technologies and the Semantic Web
      • 3.2.2. Semantic Web design principles
      • 3.2.3. Technological benefits of Semantic Web technologies
      • 3.2.4. Application areas of Semantic Web and linked data
    • 3.3. Constructing distributed knowledge bases with SKOS
      • 3.3.1. SKOS — Simple knowledge organization system
      • 3.3.2. Using SKOS to build a federated knowledge infrastructure
      • 3.3.3. Limitations and quality issues in modelling SKOS
    • 3.4. Enriching knowledge bases with linked data
      • 3.4.1. Connecting information sources with linked data
      • 3.4.2. Linked data in the content value chain
      • 3.4.3. Licensing linked data
      • 3.4.4. Providing a community norm
  • 4. Nuclear Knowledge Management and Semantic Technologies
    • 4.1. Overview and current status of nuclear knowledge and information management
    • 4.2. Semantic techniques particularly relevant to the nuclear field
      • 4.2.1. Establishing common vocabularies, taxonomies and thesauri
      • 4.2.2. Developing knowledge organization systems
      • 4.2.3. Integration of heterogeneous knowledge sources
      • 4.2.4. Automated indexing, categorization and tagging
      • 4.2.5. Semantic search and artificial intelligence techniques
      • 4.2.6. Visualization
      • 4.2.7. Text analytics, data mining and knowledge discovery
    • 4.3. Examples of ongoing and proposed applications
      • 4.3.1. Presenting knowledge bases to the users — knowledge portals, wikis, custom applications
      • 4.3.2. Interlinking and comparing KOSs
      • 4.3.3. Competency networks
      • 4.3.4. Education and training networks
      • 4.3.5. Knowledge and learning objects repositories (K/LORs)
      • 4.3.6. Extracting lessons learned from operational experience and events analysis
      • 4.3.7. Plant information models (PIMs)
      • 4.3.8. Crisis management, emergency preparedness and Semantic Web
  • 5. Conclusion
  • AppendixLIST OF AVAILABLE SKOS THESAURI
  • REFERENCES
  • Annex USE CASES IN THE NUCLEAR DOMAIN
    • A-1.1. Summary/abstract
      • A-1.2. Organizational context
      • A-1.3. Main stakeholders/departments
      • A-1.4. Organization’s KM system
      • A-1.5. Objectives of the KM initiative
      • A-1.6. Description of the KM initiatives
      • A-1.7. Major achievements and benefits derived
      • A-1.8. Challenges addressed and knowledge derived from experiences
      • A-2.1. Objective
      • A-2.2. Solution design
      • A-2.3. Special case: Multimedia material
      • A-2.4. Linked data principles: RDFization of the repository
      • A-2.5. Key benefits of using Semantic Web technologies
  • ABBREVIATIONS
  • CONTRIBUTORS TO DRAFTING AND REVIEW
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