The present work is an attempt of designing a symbolic based learning system for natural language understanding. The field selected to be the domain of application is the subject of data structure.The technique of learning used is Symbolic Learning which is a combination of two learning strategies Rote Learning and Learning by Instruction.
The present work is an attempt to develop an Arabic expert system shell for general diagnosing systems. The system abbreviated as GADESS (General Arabic Diagnosing Expert System Shell), it is onstructed of two phases. The first phase responsible for acquiring human expert knowledge in an automatic way provided with menu and windows message (expert interface).
The amount of information on the Web is growing rapidly, as well as the number of new users inexperienced in the art of Web research, which leads to the development of many Web applications called search engines specialized in helping the user in finding the information needed on the Web. Web site search engine is software used for searching a specific Web site for a specific query. This research aims to develop a Web site search engine that helps the user to find the most relevant Web pages with the user queries.
