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

Published by De Gruyter 2022

Knowledge Engineering for Modern Information Systems

Methods, Models and Tools

Edited by: Anand Sharma , Sandeep Kautish , Prateek Agrawal , Vishu Madaan , Charu Gupta and Saurav Nanda

Volume 3 in the series Smart Computing Applications

https://doi.org/10.1515/9783110713633

Übersicht
Inhalt

About this book

Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledgebased systems. KE is the process of imitating how a human expert in a specific domain would act and take decisions. It contains large amounts of knowledge, like metadata and information about a data object that describes characteristics such as content, quality, and format, structure and processes. Such systems are computer programs that are the basis of how a decision is made or a conclusion is reached. It is having all the rules and reasoning mechanisms to provide solutions to real-world problems. This book presents an extensive collection of the recent findings and innovative research in the information system and KE domain. Highlighting the challenges and difficulties in implementing these approaches, this book is a critical reference source for academicians, professionals, engineers, technology designers, analysts, undergraduate and postgraduate students in computing science and related disciplines such as Information systems, Knowledge Engineering, Intelligent Systems, Artifi cial Intelligence, Cognitive Neuro - science, and Robotics. In addition, anyone who is interested or involved in sophisticated information systems and knowledge engineering developments will find this book a valuable source of ideas and guidance.

Author / Editor information

S. Kautish, LBEF; P. Agrawal, Univ. of Klagenfurt; V. Madaan, LPU; C. Gupta, Bhagwan Inst. of Techn.; S. Nanda, Synopsys.

Topics

Frontmatter Publicly Available Download PDF	I
Inhalt Publicly Available Download PDF	V
Knowledge engineering for industrial expert systems P. Megaladevi Requires Authentication Unlicensed Licensed Download PDF	1
Machine learning integrated blockchain model for Industry 4.0 smart applications Saikat Samanta, Achyuth Sarkar, Charu Gupta and Aditi Sharma Requires Authentication Unlicensed Licensed Download PDF	13
Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria Kudirat Abiola Adegoke, Akor P. Usman and Mohamed Bitagi Requires Authentication Unlicensed Licensed Download PDF	26
Design of chatbot using natural language processing Anagha Shenoy R, Bhoomika M and Annaiah H Requires Authentication Unlicensed Licensed Download PDF	60
Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors Neeraj Bhanot and Parth Padalkar Requires Authentication Unlicensed Licensed Download PDF	80
Risk analysis and management in projects Shubhika Gaur and Vibha Maheshwari Requires Authentication Unlicensed Licensed Download PDF	96
Assessing and managing risks in smart computing applications Sanjive Saxena Requires Authentication Unlicensed Licensed Download PDF	122
COVID-19 visualization and exploratory data analysis Ria Rawal, Kartik Goel, Akshay Gulati, Shivang Sharma, Palak Girdhar, Charu Gupta and Prateek Agrawal Requires Authentication Unlicensed Licensed Download PDF	145
Business intelligence and decision support systems: business applications in the modern information system era A. Ilmudeen Requires Authentication Unlicensed Licensed Download PDF	156
Business intelligence implementation in different organizational setup evidence from reviewed literatures Andualem Walelign Lale Requires Authentication Unlicensed Licensed Download PDF	173
Conceptualization of a modern digital-driven health-care management information system (HMIS) Hazik Mohamed Requires Authentication Unlicensed Licensed Download PDF	187
Knowledge engine for a Hindi text-to-scene generation system Priyanka Jain, Ram Bhavsar, B. V. Pawar, N. K. Jain, Hemant Darbari and Virendrakumar C. Bhavsar Requires Authentication Unlicensed Licensed Download PDF	201
Index Requires Authentication Unlicensed Licensed Download PDF	229

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Researchers, Graduate Students, Professionals
Pages
- Front matter: 6
- Main content: 232
Illustrations
- Illustrations: 17
- Coloured Illustrations: 61
- Tables: 20
Keywords: Algorithmen; Big Data; Künstliche Intelligenz; Maschinelles Lernen

eBook

Published: January 19, 2022
ISBN: 9783110713633

Hardcover

Published: January 31, 2022
ISBN: 9783110713169