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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Conference
Document Title
:
ENHANCEMENT OF EXPERT SYSTEMS WITH OBJECTORIENTED DATABASE FEATURES
تطوير الأنظمة الخبيرة باستخدام مميزات قواعد البيانات كائنية التوجه
Subject
:
DATABASE
Document Language
:
English
Abstract
:
Intelligent systems are computer-based systems that use knowledge and reasoning techniques to solve problems. But they haven’t the ability to manage a large amount of data like a DBMS’s. Many expert system applications have large amount of data, thus we need to couple both the knowledge base and database systems. In this work we built two systems named Loosely Coupled System (LCS) and Tightly Coupled System (TCS). LCS statically couples the knowledge base and the database. This means that LCS must first invoke all the required data from the database. Secondly, it stores them in the working memory of the system. Finally, it starts the interactive session. TCS dynamically couples the knowledge base and database. This means that the interactive session starts first. Whenever the system needs data from the database, the inference engine asks the database to afford the specified data. Both LCS and TCS developed to couple KROL knowledge base with the external storage utility of the SICStus object prolog language. An Object-Oriented Layer (OOL) has been built on the top of the external storage utility of SICStus Prolog to handle the database objects and to convert them to the external storage format. LCS and TCS are tested by building many applications in the agriculture domain, and their performance is investigated.
Conference Name
:
STATISTICAL, COMPUTER SCIENCE AND OPERATION RESEARCH CONFERENCE
Duration
:
From : 00 AH - To : 00 AH
From : 00 AD - To : 00 AD
Publishing Year
:
1423 AH
2002 AD
Number Of Pages
:
00
Article Type
:
Article
Added Date
:
Monday, June 25, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
فتحي البرعي عيسى
EASSA, FATHY ELBOURAEY
Investigator
Doctorate
fathy55@yahoo.com
G Al-Shorbagy
Al-Shorbagy, G
Researcher
M Zaki
Zaki, M
Researcher
A Mahmoud Rafea
Rafea, A Mahmoud
Researcher
Files
File Name
Type
Description
33786.pdf
pdf
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