Next Generation Transmission Systems Enabling Technologies, Architectures, and Performances

2017 ◽  
pp. 633-729
Author(s):  
Jong Gyu Oh ◽  
Yong Ju Won ◽  
Jin Seop Lee ◽  
Yong-Hwan Kim ◽  
Jong Ho Paik ◽  
...  

2007 ◽  
Author(s):  
J.-C. Antona ◽  
G. Charlet ◽  
S. Bigo

2006 ◽  
Vol 94 (5) ◽  
pp. 892-910 ◽  
Author(s):  
Gee-Kung Chang ◽  
Jianjun Yu ◽  
Yong-Kee Yeo ◽  
A. Chowdhury ◽  
Zhensheng Jia

1996 ◽  
Vol 11 (4) ◽  
pp. 1783-1788 ◽  
Author(s):  
T. Hasegawa ◽  
K. Yamaji ◽  
H. Irokawa ◽  
H. Shirahama ◽  
C. Tanaka ◽  
...  

2004 ◽  
Vol 03 (01) ◽  
pp. 45-66 ◽  
Author(s):  
Michael Stollberg ◽  
Anna V. Zhdanova ◽  
Dieter Fensel

A new breed of Knowledge Management Systems (KMS), referred to as the Next Generation of Knowledge Management (NGKM), aims at overcoming the limitations of existing KMS regarding the range and quality of supportable Knowledge Management activities. Therefore, AI-based technologies are employed to enable automated knowledge item processing instead of the information retrieval functionality provided by conventional KMS. This paper presents the Knowledge Management Platform (KMP) developed in the h-TechSight project as an NGKM solution. It is designed to support organizations in technology intensive industries in monitoring changes in their external environment as an important factor in competitiveness. Therefore, the KMP combines NGKM enabling technologies for automatically observation of information resources on the Internet in order to notify users whenever a change in their domain of interest occurs. The aim of this paper is to position the KMP as a KMS of the next generation and to delineate the lessons learned in KMS design in the h-TechSight project. Thus, we illustrate the idea of NGKM with special emphasis on enabling technologies and, on this basis, expose the functional design and technical realization of the h-TechSight KMP.


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