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عنوان البحث(Papers / Research Title)


Knowledge Acquisition Tool through Network


الناشر \ المحرر \ الكاتب (Author / Editor / Publisher)

 
عباس محسن عبد الحسين البكري

Citation Information


عباس,محسن,عبد,الحسين,البكري ,Knowledge Acquisition Tool through Network , Time 6/20/2011 5:27:53 AM : كلية تكنولوجيا المعلومات

وصف الابستركت (Abstract)


Knowledge Acquisition Tool through Network

الوصف الكامل (Full Abstract)

  Knowledge Acquisition Tool through Network (KATTN) 
                                                                               
 
 Dr. Hilal M. Yousif  Al-Rafidain college university
  

Dr. Hilal Hadi  University of Technology
  

 Mr. Abbas M. Al-bakry University of Babylon

 
 ABSTRACT:-

 
 The network allows people at remotely located sites to communicate and share their ideas using common communication protocol. The main subject of this paper is to introduce a complete development environment for building  a knowledge-based applications.  It provides a step-by-step methodology knowledge engineering using TCP/IP protocol. Since the cost and performance of the application depend directly on the quality of the knowledge acquired, this tool reduces cost and improves the quality by letting domain experts to build the knowledge base  file directly without needing to the knowledge engineer.
 
 
KEYWORDS:-

 
Knowledge acquisition, knowledge acquisition tool, production rule, knowledge-based application, knowledge creation.The Standard Approach to Knowledge Acquisition In the standard approach to acquiring knowledge, a knowledge engineer consults reference materials, databases, and human experts, sometimes with the help of a machine learning program. We are concerned here with the acquisition of knowledge from people[6,7]. Although there are a number of variations, the standard approach to knowledge acquisition typically involves knowledge engineers interviewing experts or observing them in action, solving sample problems.• The first thing to note about the standard approach to knowledge acquisition is that, regardless of the variation used to elicit knowledge from the expert, the standard approach is costly because at least two (typically) expensive people are involved, i.e., the domain expert and the knowledge engineer[2,7].
 


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