Knowledge engineering for modern information systems methods, models and tools
Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledge based 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 t...
| Other Authors: | , , , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston
Walter de Gruyter GmbH,
[2022]
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| Series: | De Gruyter series on smart computing applications ;
v. 3. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 05079cam a2200553 i 4500 | ||
|---|---|---|---|
| 001 | koha001014634 | ||
| 003 | OCoLC | ||
| 005 | 20250222070042.0 | ||
| 006 | m d | ||
| 007 | cr c|||||||||| | ||
| 008 | 220101t20222022gw a ob 001 0 eng d | ||
| 035 | |a koha001014634 | ||
| 040 | |a EBLCP |b eng |e rda |e pn |c EBLCP |d N$T |d YDX |d OCLCO |d DEGRU |d OCLCF |d WAU |d OCLCO |d OCLCQ |d OSU | ||
| 019 | |a 1290022500 | ||
| 020 | |a 9783110713633 |q (electronic bk.) | ||
| 020 | |a 3110713632 |q (electronic bk.) | ||
| 020 | |a 9783110713695 |q (electronic bk.) | ||
| 020 | |a 3110713691 |q (electronic bk.) | ||
| 020 | |q 9783110713169 |q (hbk.) | ||
| 020 | |q 3110713160 |q (hbk.) | ||
| 050 | 4 | |a T58.64 |b .K56 2022 | |
| 082 | 0 | 4 | |a 658.4038 |2 23 |
| 049 | |a MAIN | ||
| 245 | 0 | 0 | |a Knowledge engineering for modern information systems |b methods, models and tools |c edited by Anand Sharma, Sandeep Kautish, Prateek Agrawal, Vishu Madaan, Charu Gupta, Saurav Nanda. |
| 264 | 1 | |a Berlin ; |a Boston |b Walter de Gruyter GmbH, |c [2022] | |
| 300 | |a 1 online resource (vi, 232 pages) |b illustrations (chiefly color) | ||
| 490 | 1 | |a De Gruyter series on smart computing applications, |x 2700-6239 ; |v volume 3 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |t Knowledge engineering for industrial expert systems / |r P. Megaladevi -- |t Machine learning integrated blockchain model for Industry 4.0 smart applications / |r Saikat Samanta, Achyuth Sarkar, Charu Gupta, Aditi Sharma -- |t Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria / |r Kudirat Abiola Adegoke, Akor P. Usman, Mohamed Bitagi -- |t Design of chatbot using natural language processing / |r Anagha Shenoy R, Bhoomika M, Annaiah H -- |t Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors / |r Neeraj Bhanot, Parth Padalkar -- |t Risk analysis and management in projects / |r Shubhika Gaur, Vibha Maheshwari -- |t Assessing and managing risks in smart computing applications / |r Sanjive Saxena -- |t COVID-19 visualization and exploratory data analysis / |r Ria Rawal, Kartik Goel, Akshay Gulati, Shivang Sharma, Palak Girdhar, Charu Gupta, Prateek Agrawal -- |t Business intelligence and decision support systems: business applications in the modern information system era / |r A. Ilmudeen -- |t Business intelligence implementation in different organizational setup evidence from reviewed literatures / |r Andualem Walelign Lale -- |t Conceptualization of a modern digital-driven health-care management information system (HMIS) / |r Hazik Mohamed -- |t Knowledge engine for a Hindi text-to-scene generation system / |r Priyanka Jain, Ram Bhavsar, B.V. Pawar, N.K. Jain, Hemant Darbari, Virendrakumar C. Bhavsar. |
| 520 | |a Knowledge Engineering (KE) is a field within artificial intelligence that develops knowledge based 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, Artificial Intelligence, Cognitive Neuroscience, 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. | ||
| 653 | 0 | |a Information resources management. | |
| 653 | 2 | |a Information Management | |
| 653 | 6 | |a Gestion de l'information. | |
| 653 | 7 | |a Information resources management. |2 fast |0 (OCoLC)fst00972603 | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 655 | 4 | |a Electronic books. |9 899821 | |
| 655 | 0 | |a Electronic books. |9 899821 | |
| 700 | 1 | |a Sharma, Anand |c (Editor of Nova Science Publishers), |9 914127 | |
| 700 | 1 | |a Kautish, Sandeep, |9 901603 | |
| 700 | 1 | |a Agrawal, Prateek, |9 914128 | |
| 700 | 1 | |a Madaan, Vishu, |9 914129 | |
| 700 | 1 | |a Gupta, Charu, |9 914130 | |
| 700 | 1 | |a Nanda, Saurav, |9 914131 | |
| 830 | 0 | |a De Gruyter series on smart computing applications ; |v v. 3. |9 914132 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/3102563.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014634 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1014634 |d 1014634 | ||
| 039 | |||