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)orcid 
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

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