GDL

Arabic Expert System Shell

2010
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Venus Samawi, Akram Mustafa, Abeer Ahmad, IAJIT
Dibuat : 2012-06-23, dengan 1 file

Keyword : Expert system, knowledge acquisition, knowledge engineering, diagnosing expert system, and Arabic morphological system.
Subjek : Arabic Expert System Shell
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.1/4094-6.pdf
Sumber pengambilan dokumen : Internet

Most expert system designers suffer from knowledge acquisition complications. Expert system shells contain


facilities that can simplify knowledge acquisition to make domain experts themselves responsible for knowledge structuring


and encoding. The aim of this research is to develop an Arabic Expert System Shell (AESS) for diagnosing diseases based on


natural language. The suggested AESS mainly consists of two phases. The first phase is responsible for automatic acquiring of


human expert knowledge. The acquired knowledge is analyzed by Arabic morphological system. The Arabic morphological


system analyzes the given Arabic phrase and finds the required keywords (roots). The suggested system is provided with the


required domain dictionary to be used by the Arabic morphological system. The second phase is concerned with the design of


inference engine together with user interface (based on natural language) that uses a backward chaining method (end-user


interface).When AESS tested by experts and end users, it was found that AESS performance in constructing KB and diagnosing


problems was very exact (the diagnostic ability of AESS is 99%.). Merging of morphological system with knowledge


acquisition is very effective in constructing the target Knowledge-Base (KB) without any duplicate or inconsistent rules. The


same technique could be used to build Expert System Shell based on any other natural language (English, French, etc.,). The


only difference is to build morphological system suitable to that language in addition to the desired domain dictionary.

Deskripsi Alternatif :

Most expert system designers suffer from knowledge acquisition complications. Expert system shells contain


facilities that can simplify knowledge acquisition to make domain experts themselves responsible for knowledge structuring


and encoding. The aim of this research is to develop an Arabic Expert System Shell (AESS) for diagnosing diseases based on


natural language. The suggested AESS mainly consists of two phases. The first phase is responsible for automatic acquiring of


human expert knowledge. The acquired knowledge is analyzed by Arabic morphological system. The Arabic morphological


system analyzes the given Arabic phrase and finds the required keywords (roots). The suggested system is provided with the


required domain dictionary to be used by the Arabic morphological system. The second phase is concerned with the design of


inference engine together with user interface (based on natural language) that uses a backward chaining method (end-user


interface).When AESS tested by experts and end users, it was found that AESS performance in constructing KB and diagnosing


problems was very exact (the diagnostic ability of AESS is 99%.). Merging of morphological system with knowledge


acquisition is very effective in constructing the target Knowledge-Base (KB) without any duplicate or inconsistent rules. The


same technique could be used to build Expert System Shell based on any other natural language (English, French, etc.,). The


only difference is to build morphological system suitable to that language in addition to the desired domain dictionary.

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