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Titles
English : An Approach for Knowledge Enhancement
Abstract This paper presents an approach to acquire knowledge using machine learning and interviewing domain expert. The Machine Learning approach is based on knowledge base that is acquired from other knowledge acquisition approach, and stored in database. The input knowledge for this approach is the rules of disorder diagnosis of fababean plant that was acquired using another knowledge acquisition technique. These rules are saved in the database. The approach generalizes the saved knowledge in the database and eliminates the duplication. It has succeeded completely for acquiring the generalized rules from the saved rules in the database. The approach also is tested to reason the acquired knowledge base. According to the test results, the domain expert accepts or modified the acquired knowledge.
Publication year 2004
Organization Name
    Central Laboratory for Agricultural Expert System (CLAES)
Country Egypt
City Cairo
serial title The 2nd International Conference on Informatics and Systems, INFOS 2004
Department Agricultural Expert System Development
Author(s) from ARC
External authors (outside ARC)
    Mohammed Zaky
    Mahmoud Maree
Agris Categories Documentation and information
Proposed Agrovoc Expert System;
Publication Type Conference/Workshop

 
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