Exploring semantic technologies and their application to nuclear knowledge management.

Exploring semantic technologies and their application to nuclear knowledge management.

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Bibliographic Details
Format: Electronic eBook
Language:English
Published: Vienna : International Atomic Energy Agency, 2021.
Series:IAEA nuclear energy series ; no. NG-T-6.15
Subjects:
Semantic Web.
Semantic networks (Information theory)
Knowledge management.
Nuclear power plants > Management.
Online Access:CONNECT
Table of Contents:
  • Intro
  • 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

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