KC3 Browser: Semantic Service Mush-up for Global Knowledge Sharing and Discovery

2012 ◽  
Author(s):  
Michiaki Iwazume ◽  
Ken Kaneiwa ◽  
Ichiro Kobayashi
Keyword(s):  
Knowledge Sharing ◽  
Global Knowledge ◽  
Semantic Service

scholarly journals Scaling Up Your Story: An Experiment in Global Knowledge Sharing at the World Bank

2016 ◽  
Vol 49 (1) ◽  
pp. 1-14
Author(s):  
Shad S. Morris ◽  
James B. Oldroyd ◽  
Sita Ramaswami
Keyword(s):  
Knowledge Sharing ◽  
World Bank ◽  
Scaling Up ◽  
Global Knowledge ◽  
The World Bank ◽  
The World

SEMCL

2010 ◽  
Vol 1 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Weisen Guo ◽  
Steven B. Kraines
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Knowledge Sharing ◽  
Language Processing ◽  
Global Knowledge ◽  
Semantic Web Technologies ◽  
Natural Languages ◽  
Web Technologies ◽  
Language Knowledge ◽  
Cross Language

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.

Cultural Impact on Global Knowledge Sharing

2011 ◽  
pp. 262-281
Author(s):  
Timothy Shea ◽  
David Lewis
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Cultural Differences ◽  
National Culture ◽  
Decision Makers ◽  
Global Environment ◽  
Global Knowledge ◽  
Cultural Impact ◽  
Four Dimensions ◽  
Types Of Knowledge

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.

Five steps to creating a global knowledge-sharing system: Siemens' ShareNet

2005 ◽  
Vol 19 (2) ◽  
pp. 9-23 ◽  
Author(s):  
Sven C. Voelpel ◽  
Malte Dous ◽  
Thomas H. Davenport
Keyword(s):  
Knowledge Sharing ◽  
Global Knowledge

scholarly journals Assessing Knowledge Sharing in Cancer Screening Among High-, Middle-, and Low-Income Countries: Insights From the International Cancer Screening Network

2019 ◽  
pp. 1-8
Author(s):  
Douglas M. Puricelli Perin ◽  
Amanda L. Vogel ◽  
Stephen H. Taplin
Keyword(s):  
Cancer Screening ◽  
Knowledge Sharing ◽  
Low Income ◽  
National Cancer Institute ◽  
Online Survey ◽  
Research Evaluation ◽  
Cancer Control ◽  
Low Income Countries ◽  
Years Of Experience ◽  
Global Knowledge

PURPOSE As the global burden of cancer rises, global knowledge sharing of effective cancer control practices will be critical. The International Cancer Screening Network (ICSN) of the US National Cancer Institute facilitates knowledge sharing to advance cancer screening research and practice. Our analysis assessed perceptions of ICSN’s value and knowledge sharing in cancer screening among participants working in high-income countries (HICs) and low- and middle-income countries (LMICs). METHODS In 2018, the National Cancer Institute fielded a self-administered, online survey to 665 ICSN participants from both HICs and LMICs. RESULTS Two hundred forty-three individuals (36.5%) completed the full survey. LMIC participants engaged in more diverse screening activities and had fewer years of experience (13.5% with more than 20 years of experience v 31%; P = .048) in screening and were more interested in cervical cancer (76.9% v 52.6%; P = .002) than HIC participants. However, both groups spent most of their time on research (30.8% LMIC v 36.6% HIC; P = .518) and agreed that the ICSN biennial meeting enabled them to learn from the experiences of both higher-resource (88.2% v 75.7%; P = .122) and lower-resource (61.8% v 68.0%; P = .507) settings. ICSN helped them form new collaborations for research and implementation (55.1% v 58.2%; P = .063); informed advances in research/evaluation (71.4% v 68.0%; P = .695), implementation (59.2% v 47.9%; P = .259), and policies in their settings (55.1% v 48.0%; P = .425); and provided the opportunity to contribute their knowledge and expertise to assist others (67.3% v 71.1%; P = .695). CONCLUSION Findings suggest that HIC and LMIC participants benefit from knowledge sharing at ICSN meetings although their interests, backgrounds, and needs differ. This points to the importance of international research networks that are inclusive of HIC and LMIC participants in cancer control to advance knowledge and effective practices globally.

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

2011 ◽  
pp. 365-381
Author(s):  
Mirghani Mohamed ◽  
Michael Stankosky ◽  
Vincent Ribière
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
Grid Computing ◽  
Knowledge Sharing ◽  
Information Overload ◽  
Global Knowledge ◽  
Shared Resources ◽  
Semantic Grid ◽  
Early Results ◽  
Wide Range

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.

Cultural Impact on Global Knowledge Sharing

2011 ◽  
pp. 75-90
Author(s):  
Timothy Shea ◽  
David Lewis
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Cultural Differences ◽  
National Culture ◽  
Decision Makers ◽  
Global Environment ◽  
Global Knowledge ◽  
Cultural Impact ◽  
Four Dimensions ◽  
Types Of Knowledge

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.

Global Knowledge Networking (GKN) With Utilizing of Digital Libraries

2018 ◽  
pp. 966-987
Author(s):  
Azadeh Heidari ◽  
Leila Nemati-Anaraki
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Knowledge Sharing ◽  
Digital Libraries ◽  
Process Model ◽  
Global Knowledge ◽  
Essential Condition ◽  
Community Environment ◽  
Knowledge Based ◽  
Innovation Activities

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.

Market of Resources as a Knowledge Management Enabler in VE

2011 ◽  
pp. 2699-2711 ◽  
Author(s):  
Maria Manuela Cunha ◽  
Goran D. Putnik
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Business Strategy ◽  
Virtual Enterprise ◽  
Virtual Enterprises ◽  
Global Knowledge ◽  
Organizational Models ◽  
Object Knowledge ◽  
Organizational Conditions ◽  
Dynamically Reconfigurable

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.

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

2012 ◽  
pp. 1721-1736
Author(s):  
Mirghani Mohamed ◽  
Michael Stankosky ◽  
Vincent Ribière
Keyword(s):  
Knowledge Management ◽  
Semantic Web ◽  
Grid Computing ◽  
Knowledge Sharing ◽  
Information Overload ◽  
Global Knowledge ◽  
Shared Resources ◽  
Semantic Grid ◽  
Early Results ◽  
Wide Range

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.

Sign in / Sign up

Export Citation Format

Share Document