A Framework for Development the Open Systems Interconnection of Integrated Intelligent Knowledge for Management of Networks

2013 ◽  
Vol 411-414 ◽  
pp. 795-798 ◽  
Author(s):  
Yu Qing Shi ◽  
Yue Long Zhu
Keyword(s):  
Knowledge Management ◽  
Intelligent System ◽  
Open Systems ◽  
Management Model ◽  
New Model ◽  
Design And Implementation ◽  
Open Systems Interconnection ◽  
Intelligent Management

In this article, we present a new model for distributed intelligent management networks. This paper presents a approach for the design and implementation of a distributed intelligent system that is designed through the normalization of knowledge management. Our study focuses on a language for formalizing knowledge management descriptions and an intelligent framework and combining them with an existing Open Systems Interconnection (OSI) management model. Further, this work outlines the development of an example based on our proposed standard.

scholarly journals Ontología y Procesamiento de Lenguaje Natural

2018 ◽  
Vol 3 (1) ◽  
pp. 492
Author(s):  
Denis Cedeño Moreno ◽  
Miguel Vargas Lombardo
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Natural Language Processing ◽  
Natural Language ◽  
Information Extraction ◽  
Language Processing ◽  
Management Model ◽  
Ontological Engineering ◽  
Design And Implementation ◽  
The World

At present, the convergence of several areas of knowledge has led to the design and implementation of ICT systems that support the integration of heterogeneous tools, such as artificial intelligence (AI), statistics and databases (BD), among others. Ontologies in computing are included in the world of AI and refer to formal representations of an area of knowledge or domain. The discipline that is in charge of the study and construction of tools to accelerate the process of creation of ontologies from the natural language is the ontological engineering. In this paper, we propose a knowledge management model based on the clinical histories of patients (HC) in Panama, based on information extraction (EI), natural language processing (PLN) and the development of a domain ontology.Keywords: Knowledge, information extraction, ontology, automatic population of ontologies, natural language processing.

Cybercentrism

2001 ◽  
pp. 337-373 ◽  
Author(s):  
Lansing Alexander Gordon
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Open Systems ◽  
Past Research ◽  
Management Model ◽  
Future Research ◽  
Corporate Management ◽  
Extended Enterprise ◽  
Global Village ◽  
Communications Networks

With the advent of ecommerce and the growth of ‘open’ systems communications networks, managers in industry have been confronted by the assaults of technology, an evolving employee profile and changing sets of leadership and motivational challenges. Corporate management architectures, so firmly built for the age of globalization, are today’s ruins of the global village. The virtually extended enterprise can no longer be managed with the tools of a lost era. A new management model is evolving that supports existing and future knowledge platforms and re-engineers rather than retards knowledge creation and systems. This chapter examines a Cybercentristic management model based upon a series of dynamics taken from past research, including collaborative workplace technologies, knowledge leadership methodologies and knowledge sharer and knowledge sharing networks. These are contrasted against Geocentric values. The results of this discussion are keyed into a Cybercentric teleology, constructed to form the basis for future research into the knowledge management model heir-apparent for the cyber century.

Design and Implementation of C-iLearning

2013 ◽  
Vol 11 (3) ◽  
pp. 79-97 ◽  
Author(s):  
Jun Xiao ◽  
Minjuan Wang ◽  
Lamei Wang ◽  
Xiaoxiao Zhu
Keyword(s):  
Teaching And Learning ◽  
Intelligent System ◽  
Management Model ◽  
Continuous Learning ◽  
Learning Network ◽  
Design And Implementation ◽  
Cloud Management ◽  
Technical Structure ◽  
Key Technologies ◽  
Gradual Development

The gradual development of intelligent learning (iLearning) systems has prompted the changes of teaching and learning. This paper presents the architecture of an intelligent learning (iLearning) system built upon the recursive iLearning model and the key technologies associated with this model. Based on this model and the technical structure of a cloud-based intelligent system, the authors developed an exemplary iLearning system-”Mobile Class”, accessible from the Shanghai Lifelong Learning Network, an online platform for the continuing education of Shanghai residents. This cloud-based intelligent learning (C-iLearning) system can adopt the cloud management model and synchronize users' learning process in the clouds, so as to support users' continuous learning with different devices. Formal testing with target users revealed the effectiveness of this system in supporting anytime anywhere learning.

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