Adopting the Grid Computing & Semantic Web Hybrid for Global Knowledge Sharing

2012 ◽  
pp. 1721-1736
Author(s):  
Mirghani Mohamed ◽  
Michael Stankosky ◽  
Vincent Ribière

The purpose of this chapter is to examine the requirements of Knowledge Management (KM) services deployment in a Semantic Grid environment. A wide range of literature on Grid Computing, Semantic Web, and KM have been reviewed, related, and interpreted. The benefits of the Semantic Web and the Grid Computing convergence have been investigated, enumerated and related to KM principles in a complete service model. Although the Grid Computing model significantly contributed to the shared resources, most of KM tools obstacles within the grid are to be resolved at the semantic and cultural levels more than at the physical or logical grid levels. The early results from academia, where grid computing still in testing phase, show a synergy and the potentiality of leveraging knowledge, especially from voluminous data, at a wider scale. However, the plethora of information produced in this environment will result in a serious information overload, unless proper standardization, automated relations, syndication, and validation techniques are developed.

Author(s):  
Mirghani Mohamed ◽  
Michael Stankosky ◽  
Vincent Ribière

The purpose of this chapter is to examine the requirements of Knowledge Management (KM) services deployment in a Semantic Grid environment. A wide range of literature on Grid Computing, Semantic Web, and KM have been reviewed, related, and interpreted. The benefits of the Semantic Web and the Grid Computing convergence have been investigated, enumerated and related to KM principles in a complete service model. Although the Grid Computing model significantly contributed to the shared resources, most of KM tools obstacles within the grid are to be resolved at the semantic and cultural levels more than at the physical or logical grid levels. The early results from academia, where grid computing still in testing phase, show a synergy and the potentiality of leveraging knowledge, especially from voluminous data, at a wider scale. However, the plethora of information produced in this environment will result in a serious information overload, unless proper standardization, automated relations, syndication, and validation techniques are developed.


Author(s):  
Mirghani Mohamed ◽  
Michael Stankosky ◽  
Vincent Ribière

The purpose of this article is to investigate the requirements of knowledge management (KM) services deployment in a Semantic Grid environment. A wide range of literature on Grid Computing, Semantic Web, and KM have been reviewed, related, and interpreted. The benefits of the Semantic Web and the Grid Computing convergence have been enumerated and related to KM principles in a complete service model. Although the Grid Computing contributed the shared resources, most of the KM tool obstacles within the grid are to be resolved at the semantic and cultural levels more than at the physical or logical grid levels. The early results from academia show a synergy and the potentiality of leveraging knowledge at a wider scale. However, the plethora of information produced in this environment will result in a serious information overload, unless proper standardization, automated relations, syndication, and validation techniques are developed.


2010 ◽  
Vol 1 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Weisen Guo ◽  
Steven B. Kraines

To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP) technologies. The ambiguity of natural language is a problem for NLP; however, semantic web technologies can circumvent the problem by enabling human authors to specify meaning in a computer-interpretable form. In this paper, the authors propose a cross-language semantic model (SEMCL) for knowledge sharing, which uses semantic web technologies to provide a potential solution to the problem of ambiguity. Also, this model can match knowledge descriptions in diverse languages. First, the methods used to support searches at the semantic predicate level are given, and the authors present a cross-language approach. Finally, an implementation of the model for the general engineering domain is discussed, and a scenario describing how the model implementation handles semantic cross-language knowledge sharing is given.


Author(s):  
Timothy Shea ◽  
David Lewis

This chapter introduces how culture impacts global knowledge sharing. Effective knowledge sharing (KS), one of the four interdependent dimensions of knowledge management (KM), is particularly important in today’s global environment in which national cultural differences are negotiated all the time. Knowledge sharing is described along six dimensions and national culture along four dimensions. A model is presented, which provides guidelines for effectively sharing different types of knowledge within different cultural environments. Several examples are presented to illustrate the model’s effectiveness. Using the model as a guide, the authors believe that decision makers will increase the chances that information and knowledge will be shared successfully.


Author(s):  
Timothy Shea ◽  
David Lewis

This chapter introduces how culture impacts global knowledge sharing. Effective knowledge sharing (KS), one of the four interdependent dimensions of knowledge management (KM), is particularly important in today’s global environment in which national cultural differences are negotiated all the time. Knowledge sharing is described along six dimensions and national culture along four dimensions. A model is presented, which provides guidelines for effectively sharing different types of knowledge within different cultural environments. Several examples are presented to illustrate the model’s effectiveness. Using the model as a guide, the authors believe that decision makers will increase the chances that information and knowledge will be shared successfully.


Author(s):  
Azadeh Heidari ◽  
Leila Nemati-Anaraki

In Digital Libraries (DLs) as an innovative community environment, knowledge is nutrition, and the environment for knowledge sharing is the essential condition. As the knowledge is the heart of digital libraries, it is imperative for them to promote the innovation activities embodied by teaching and scientific research through an efficient knowledge-sharing environment. In digital environment, the role of knowledge has become even more significant. Moreover, DLs perform many knowledge-based activities, and by nature, the knowledge-sharing process is embedded in DL systems. These modern knowledge management environments need modern technologies in order to perform properly for end users and online researchers. Therefore, the aim of this chapter is to provide a model for global knowledge networking with utilizing digital libraries and artificial intelligence. The specific objectives are to describe a framework of digital libraries and concepts of Knowledge Management (KM). The chapter finds some significant overlaps between DLs and KM and integrates the knowledge-sharing process with DLs and artificial intelligence. The integration of KM and knowledge sharing can add value to develop a global knowledge networking process model so users around the globe can make use of this knowledge transmission.


2011 ◽  
pp. 2699-2711 ◽  
Author(s):  
Maria Manuela Cunha ◽  
Goran D. Putnik

Knowledge is, undoubtedly, an indispensable asset for organizations to compete effectively (Alavi & Leidner, 2001; Murray, 2002). New organizational models, such as the virtual enterprise (VE) model, characterized as dynamically reconfigurable information-based global networked structures, are emerging. New technological environments and solutions are being developed to support them, and the importance of knowledge and the capability of managing it by creating the organizational conditions that facilitate the generation, sharing, and application of knowledge are more and more critical. In a global organization, as defended by Kluge, Stein, and Licht (2001), face-to-face relationships are not possible, giving rise to difficulties in accepting knowledge from outside. This applies more deeply in virtual enterprises (or in virtual organizations) in the interactions among the independent partners who tend more and more to fear the leakage of private knowledge. This situation promotes competition and rivalry and, as suggested by Prahalad and Hamel (1990), impedes collaboration and knowledge sharing, precisely two of the main underlying issues of this organizational model. A supporting environment, such as the market of resources proposed by the authors, is the way to assure effective knowledge management between the members of a virtual enterprise and business strategic alignment enabling the performance improvement of the VE. In an environment to support VE integration, knowledge management is simultaneously a tool and an object. As a tool, knowledge management can be used by the market of resources to reduce transaction costs in VE integration and VE reconfiguration; as an object, knowledge must be protected and knowledge leakage prevented to assure trust and protection of VE participants. The broker (an integrating element of the market of resources) is, besides other attributions, responsible for advising the VE owner in identifying and communicating the role of knowledge management within the VE business plan and for ensuring the permanent alignment between business strategy and knowledge strategy within the network of independent enterprises that constitute the VE. The broker must ensure that the global knowledge sharing is not threatened by deficient knowledge management procedures and, simultaneously, that any instance of the VE (as a reconfigurable network) at a given time, is able to respond to the market requirements with its maximum performance, that is, is business aligned. In this article, we introduce the VE disabling factors and the functionalities for VE integration, briefly present the market of resources as an environment to support VE integration, assuring business alignment and knowledge management, identify the main strengths and problems associated with the implementation of knowledge management functions, and, finally, discuss the main opportunities associated to the implementation and exploitation of the market of resources.


Author(s):  
Shan L. Pan

Knowledge has been identified as one of the most important resources that contribute to the competitive advantage of an organization. Such realization has led to a number of studies that have attempted to understand how organizations explore and exploit knowledge from a technological perspective. However, the chapter aims to go beyond the technological perspective by addressing the organizational and social issues of organizing global knowledge sharing. The research is based on an empirical investigation of knowledge sharing processes from an international organization. Through the social construction approach, the chapter traces the interactions between global knowledge management (KM) practices and the organizational context over time.


2008 ◽  
pp. 1145-1157
Author(s):  
Bhavani Thuraisingham ◽  
Latifur Khan

This chapter first describes the developments in semantic grids and then discusses the security aspects. Semantic grids integrate Semantic Web and grid technologies. They also integrate knowledge management with Semantic Web and the grids. There is much interest on applying the semantic grid for many applications in science and engineering. Therefore, it is critical that the semantic grids be secure. We will also discuss Semantic Web mining and privacy implications relevant to semantic grids.


2020 ◽  
Vol 4 (11) ◽  
Author(s):  
Jiao Zhang

In the "Internet Plus" era, teachers use Internet platforms and tools for knowledge management. The Internet has triggered 'knowledge explosion'. This phenomenon has brought a series of challenges to knowledge management, such as information overload, knowledge fragmentation, knowledge inertia and so on. In view of the above challenges, we should adopt the strategies, such as, establishing a knowledge database for teachers, giving offline knowledge management media a networked label information, creating a network atmosphere for knowledge sharing, and building a networked knowledge management environment, so as to promote the healthy development of "Internet plus education".


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