Journal of
Systemics, Cybernetics and Informatics
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ISSN: 1690-4524 (Online)


Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.

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Published by
The International Institute of Informatics and Cybernetics


Re-Published in
Academia.edu
(A Community of about 40.000.000 Academics)


Honorary Editorial Advisory Board's Chair
William Lesso (1931-2015)

Editor-in-Chief
Nagib C. Callaos


Sponsored by
The International Institute of
Informatics and Systemics

www.iiis.org
 

Editorial Advisory Board

Quality Assurance

Editors

Journal's Reviewers
Call for Special Articles
 

Description and Aims

Submission of Articles

Areas and Subareas

Information to Contributors

Editorial Peer Review Methodology

Integrating Reviewing Processes


Smart Cities: Challenges and Opportunities
Mohammad Ilyas
(pages: 1-6)

Bridging the Gap: Communicating to Increase the Visibility and Impact of Your Academic Work
Erin Ryan
(pages: 7-12)

Cross-Cultural Online Networking Based on Biomedical Engineering to Motivate Transdisciplinary Communication Skills
Shigehiro Hashimoto
(pages: 13-17)

Interdisciplinary Approaches to Learning Informatics
Masaaki Kunigami
(pages: 18-22)

The Impact of Artificial Intelligence and the Importance of Transdisciplinary Research
R. Cherinka, J. Prezzama, P. O'Leary
(pages: 23-28)

Emotional Communication as Complex Phenomenon in Musical Interpretation – Proposal for a Systemic Model That Promotes a Transdisciplinary Process of Self-Formation and Reflection Around Expressiveness as a Lived Experience
Fuensanta Fernández de Velazco, Eduardo Carpinteyro-Lara, Saúl Rodríguez-Luna
(pages: 29-33)

A Multi-Disciplinary Cybernetic Approach to Pedagogic Excellence
Russell Jay Hendel
(pages: 34-41)

The Ethics of Artificial Intelligence in the Era of Generative AI
Vassilka D. Kirova, Cyril S. Ku, Joseph R. Laracy, Thomas J. Marlowe
(pages: 42-50)

Trans-Disciplinary Communication: Context and Semantics
Maurício Vieira Kritz
(pages: 51-57)

A Brave New World: AI as a Nascent Regime?
Jasmin Cowin, Birgit Oberer, Cristo Leon
(pages: 58-66)

The Role of Art and Science – Relational Dynamics in Human Ecology
Giorgio Pizziolo, Rita Micarelli
(pages: 67-75)

Advancing Entrepreneurship Education: An Integrated Approach to Empowering Future Innovators
Birgit Oberer, Alptekin Erkollar
(pages: 76-81)

Harmonizing Horizons: The Symphony of Human-Machine Collaboration in the Age of AI
Birgit Oberer, Alptekin Erkollar
(pages: 82-86)

How Do Students Learn Artificial Intelligence in Interdisciplinary Field of Biomedical Engineering?
Shigehiro Hashimoto
(pages: 87-91)

What is ChatGPT and its Present and Future for Artificial Intelligence in Trans-Disciplinary Communications?
Richard Segall
(pages: 92-98)


 

Abstracts

 


ABSTRACT


Cognitive Analytics: A Step Towards Tacit Knowledge?

Fred A. Maymir-Ducharme, Lee A. Angelelli


Tacit Knowledge (TK) generally refers to information that is difficult to convey, store, or transfer explicitly. KT is a key challenge for corporations interested in capturing information in Knowledge Management (KM) systems that is generally lost with attrition or other human factors (e.g., dimensia). In particular, the challenge is in the capture of implicit information (e.g., additional related data, perspectives, and other frames of reference) – in a manner in which it can later be utilized. This paper suggests the use of Cognitive Computing (Analytics) as an advanced approach to capture and extract tacit knowledge. KM involves the process of identifying, capturing, extending, sharing, and ultimately exploiting individual or organizational knowledge. Today’s KM requires a multi-disciplinary approach, capable of extending itself to deal with large volumes of disparate data types and emerging technologies that provide a broad set of search and analytics capabilities to meet an organization’s need to innovate and thrive. Many organizations have extended their KM to include a variety of unstructured text (e.g., documents and web pages) and multimedia (e.g., pictures, audio and video). The last decade has shown a strong focus on analytics. Analytics provide large organizations the ability to deal with the exponential growth in data volumes and the complexities associated with effectively and efficiently exploiting corporate or organizational data – thus allowing them to dynamically meet internal goals, as well as survive in very competitive environments. This paper provides an overview of various analytic approaches that have been applied to KM over the years, and the state of the art in analytics (Cognitive Computing); and it identifies additional capabilities and technologies in the horizon.

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