Knowledge Engineering for Modern Information Systems : Methods, Models and Tools /

Knowledge Engineering (KE) is a fi eld within artifi cial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specifi c domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object...

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Format: E-Book
Sprache:Englisch
Veröffentlicht: Berlin ; Boston : De Gruyter, [2022]
Schriftenreihe:Smart Computing Applications , 3
Schlagworte:
Information resources management.
Algorithmen.
Big Data.
Künstliche Intelligenz.
Maschinelles Lernen.
manažment informačných zdrojov
algoritmy
big dáta
umelá inteligencia
strojové učenie
ISBN:9783110713633
Online-Zugang: Volltext
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Inhaltsangabe:
  • Frontmatter
  • Contents
  • Knowledge engineering for industrial expert systems
  • Machine learning integrated blockchain model for Industry 4.0 smart applications
  • Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria
  • Design of chatbot using natural language processing
  • Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors
  • Risk analysis and management in projects
  • Assessing and managing risks in smart computing applications
  • COVID-19 visualization and exploratory data analysis
  • Business intelligence and decision support systems: business applications in the modern information system era
  • Business intelligence implementation in different organizational setup evidence from reviewed literatures
  • Conceptualization of a modern digital-driven health-care management information system (HMIS)
  • Knowledge engine for a Hindi text-to-scene generation system
  • Index

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