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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.
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.
Experience has made species to survive and cultures to prevail, as
experience makes organizations to succeed. Thus, capturing the
experience of every decision taken in an explicit representation
form is highlighted as the utmost importance in knowledge
engineering presented in this book. Decisional DNA knowledge
representation allows building the experiential fingerprints of an
organization by implementing a model for transforming information
into knowledge. The Smart Knowledge Management System (SKMS) is a
self-learning and intelligent knowledge management hybrid platform
developed to help decision makers in their daily operation.
Technologies such as expert systems, simulation, statistical tools,
knowledge-based systems, and multiple AI technologies are
integrated into the SKMS allowing the combination of different
perspectives for acquiring the required explicit decisional
experiential knowledge by the means of Decisional DNA. The
presented tools offer useful insights to professionals, students
and researchers interested in knowledge engineering and knowledge
management, but more generally, in the artificial intelligence and
information systems fields.
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