Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/61803
Title: | Knowledge Management and Engineering with Decisional DNA |
Contributor(s): | Szczerbicki, Edward (editor); Sanin, Cesar (editor) |
Publication Date: | 2020 |
DOI: | 10.1007/978-3-030-39601-5 |
Handle Link: | https://hdl.handle.net/1959.11/61803 |
Abstract: | | This is the first book on experience-based knowledge representation and knowledge management using the unique Decisional DNA (DDNA) technology. The DDNA concept is roughly a decade old, and is rapidly attracting increasing attention and interest among researchers and practitioners. This comprehensive book provides guidelines to help readers develop experience-based tools and approaches for smart engineering of knowledge, data and information. It does not attempt to offer ultimate answers, but instead presents ideas and a number of real-world case studies to explore and exemplify the complexities and challenges of modern knowledge engineering issues. It also increases readers’ awareness of the multifaceted interdisciplinary character of such issues to enable them to consider – in different ways – developing, evaluating, and supporting smart knowledge engineering systems that use DDNA technology based on experience.
Publication Type: | Book |
Publisher: | Springer |
Place of Publication: | Switzerland |
ISBN: | 9783030396015 9783030396008 |
Fields of Research (FoR) 2020: | 4602 Artificial intelligence |
HERDC Category Description: | A3 Book - Edited |
Extent of Pages: | 244 |
Series Name: | Intelligent Systems Reference Library |
Series Number : | 183 |
Editor: | Editor(s): Edward Szczerbicki and Cesar Sanin |
Appears in Collections: | Book School of Science and Technology
|
Files in This Item:
1 files
Show full item record
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.