Common Knowledge Sharing Model of 24-Hour Knowledge Factory of Grid Computing Based on Case Based Reasoning

2008 ◽  
Vol 4 (3) ◽  
pp. 1-18 ◽  
Author(s):  
Huosong Xia ◽  
Amar Gupta
Author(s):  
Huosong Xia ◽  
Amar Gupta

In order to improve the level of decision making and competitive advantage, organizations are actively trying to develop and incorporate new knowledge management techniques that are suited for the evolving global economy; the notion of globally distributed team environments represents one area of heavy focus. In implementing a globally distributed work environment, decision makers are faced with an increasingly daunting task of reconciling disparate distributed and heterogeneous data sources. Further, these data sources are growing every day as corporations dedicate more of their resources to a multinational scenario, rather than to a domestic or geographically-specific focus. In order to address this growing problem of knowledge sharing, the authors propose a knowledge sharing model that incorporates the notion of the 24-Hour Knowledge Factory, in conjunction with grid computing and case-based reasoning (CBR). This chapter begins with a description of the 24-Hour Knowledge Factory, the Enterprise Common Knowledge Shared (ECKS) methodology, and the evolving time-shift sharing model. Next, a CBR-adapted approach, based on grid computing, is presented for use in a 24-Hour Knowledge Factory environment. Finally, several types of enterprise knowledge transfer mechanisms are presented in this paper.


2021 ◽  
Vol 1 (2) ◽  
pp. 167
Author(s):  
Syifa Naufal Qisty

With the development of information technology, document management is now done digitally and paperless. Document management is also carried out as an implementation of knowledge sharing activities in an organization. Document management as a part of knowledge sharing activities is one of which is carried out by Bina Nusantara University (Binus). This article is compiled to find out how document management is an implementation of knowledge sharing in the Binus University environment. The method used is descriptive method of conducting interviews and literature review. From the research conducted, Binus University developed the Binus portal as a forum for employees to carry out knowledge sharing activities as well as manage documents in the organization. The managed documents include institutional documents such as organizational structure documents, business processes, duties and functions of each directorate, training materials, references in carrying out assignments, sharing expertise, case studies, case-based reasoning, as well as documents in the form of ideas, innovations, and opinions written in popular form by employees at Binus. 


2007 ◽  
Vol 19 (9) ◽  
pp. 1253-1269 ◽  
Author(s):  
Lilian Noronha Nassif ◽  
José Marcos Nogueira ◽  
Ahmed Karmouch ◽  
Mohamed Ahmed ◽  
Flávio Vinícius de Andrade

Author(s):  
YUH-JEN CHEN ◽  
YUH-MIN CHEN ◽  
YUNG-SHENG SU ◽  
CHIUN-CHENG WEN

Given the advent of knowledge-based economies and virtual-enterprise business models, enterprises get the knowledge not only from themselves but also from others. Distributed case-based reasoning systems (DCBRS) play important roles in knowledge-driven virtual enterprises by supporting knowledge sharing. This study develops a novel mechanism for ontology-based distributed case-based reasoning using ontology and a proposed multistage algorithm to effectively support knowledge sharing within a virtual enterprise environment. Tasks involved in this study are as follows: (i) design an ontology-based distributed case-based reasoning architecture and procedure, (ii) develop techniques related to the ontology-based distributed case-based reasoning, and (iii) implement an ontology-based distributed case-based reasoning mechanism. Developing methods associated with ontology-based distributed case-based reasoning involves the definition and representation of a user query model, definition and representation of a knowledge case model, definition and establishment of knowledge case index structure, and development of a distributed knowledge case retrieval and knowledge case adaptation methods. Study results will facilitate heterogeneous knowledge sharing among enterprises participating in a virtual enterprise.


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