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: | Sharma, Anand (Editor of Nova Science Publishers), Kautish, Sandeep, Agrawal, Prateek, Madaan, Vishu, Gupta, Charu, Nanda, Saurav |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin ; Boston
Walter de Gruyter GmbH,
[2022]
|
| Series: | De Gruyter series on smart computing applications ;
v. 3. |
| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Similar Items
-
Using information technology advancements to adapt to global pandemics
Published: (2022) -
Management strategies for sustainability, new knowledge innovation, and personalized products and services
Published: (2022) -
Advanced MIS and Digital Transformation for Increased Creativity and Innovation in Business
by: Ekren, Gülay
Published: (2019) -
Hacking artificial intelligence a leader's guide from deepfakes to breaking deep learning
by: Gibian, Davey, 1988-
Published: (2022) -
Navigating digital communication and challenges for organizations
Published: (2022)
