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

Knowledge Engineering for Modern Information Systems : : Methods, Models and Tools / / ed. by Sandeep Kautish, Saurav Nanda, Prateek Agrawal, Vishu Madaan, Charu Gupta, Anand Sharma.

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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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1
MitwirkendeR:
Adegoke, Kudirat Abiola,
Agrawal, Prateek,
Bhanot, Neeraj,
Bhavsar, Ram,
Bhavsar, Virendrakumar C.,
Bitagi, Mohamed,
Darbari, Hemant,
Gaur, Shubhika,
Girdhar, Palak,
Goel, Kartik,
Gulati, Akshay,
Gupta, Charu,
H, Annaiah,
Ilmudeen, A.,
Jain, N. K.,
Jain, Priyanka,
Lale, Andualem Walelign,
M, Bhoomika,
Maheshwari, Vibha,
Megaladevi, P.,
Mohamed, Hazik,
Padalkar, Parth,
Pawar, B. V.,
Rawal, Ria,
Samanta, Saikat,
Sarkar, Achyuth,
Saxena, Sanjive,
Sharma, Aditi,
Sharma, Shivang,
Shenoy R, Anagha,
Usman, Akor P.,
HerausgeberIn:
Agrawal, Prateek,
Gupta, Charu,
Kautish, Sandeep,
Madaan, Vishu,
Nanda, Saurav,
Sharma, Anand,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2022]
©2022
Year of Publication:2022
Language:English
Series:Smart Computing Applications , 3
Online Access:
Physical Description:1 online resource (VI, 232 p.)
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Table of Contents:
  • 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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