Journal of
Systemics, Cybernetics and Informatics
 



ISSN: 1690-4524 (Online)


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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

Editors

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Submission of Articles

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Editorial Peer Review Methodology

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Detection of Minimal Set of Trips Causing the Necessity to Use Extra Vehicle for Vehicle Scheduling Problem
Katerina Pastircáková, Jaromír Šulc
(pages: 1-4)

Key Factors in the Success of Self - Directed Learning of Military Personnel - Taking Smartphone as an Example
Yen-Hsi Lo, Yen-Fen Lo, Po-Yun Chiang, Jung Hsiao
(pages: 5-8)

Machine Learning Based IP Network Traffic Classification Using Feature Significance Analysis
Te-Shun Chou, John Pickard, Ciprian Popoviciu
(pages: 9-12)

The Information System for US Stock Market: Fundamental and Technical Analysis
Sergejs Hilkevics, Galina Hilkevica
(pages: 13-24)

The Impact of Environmental and Social Performance on the Market Value of Shares of Czech Joint-Stock Corporations
Alena Kocmanova, Marie Pavlakova Docekalova, Iveta Simberova
(pages: 25-31)

Play the Game! Analogue Gamification for Raising Information Security Awareness (Invited Paper)
Margit Scholl
(pages: 32-35)

Using Informatics and Technology Practices for Academic Performance Review
Kim Moorning
(pages: 36-41)

Multiple Research Perspectives as a Paradigm to Co-Create Meaningful Real-life Experiences
Jan Detand, Marina Emmanouil
(pages: 42-46)

A Methodology to Integrate Regulatory Expertise, Research and Education to Accelerate Biomedical Device Translation
Diana Easton
(pages: 47-52)

Active Learning through Smart Grid Model Site in Challenge Based Learning Course
Ellen A. Kalinga, Kwame S. Ibwe, Nerey H. Mvungi, Hannu Tenhunen
(pages: 53-64)

Non-Linear Static Analysis of Masonry Buildings under Seismic Actions
Maria Luisa Beconcini, Paolo Cioni, Pietro Croce, Paolo Formichi, Filippo Landi, Caterina Mochi
(pages: 65-70)

Toward an Engaging Hands-on Environment for a Beginning Networking and Security Class
Lopamudra Roychoudhuri
(pages: 71-76)

Designing Representations, Affecting Reality: A Meta-Model Proposal to Address the Question of Design Epistemology from the Perspective of Cognitive Science
Andrea Zammataro
(pages: 77-80)

Dielectrophoretic Movement of Cell around Surface Electrodes in Flow Channel
Yusuke Takahashi, Shigehiro Hashimoto, Manabu Watanabe
(pages: 81-87)


 

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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