System integration: Application of Web-based DBMS and intelligent agent.

Title: System integration: Application of Web-based DBMS and intelligent agent.
Authors: Chen, Wei.
Date: 2002
Abstract: Considering the redundancy and the irrelevancy of current search engines in the World Wide Web (WWW), this thesis explores an alternative web-based method of Internet search and retrieval of information via an Intelligent Agent. The Intelligent Agent retrieves the information back to users and it inserts this information automatically into the users' database. There are three components in this system: (1) Multiple User Dungeon (MUD) as a front end, (2) dynamic database management system, and (3) Intelligent Agent as a back end. The front end is a web site open to all the users of this system. It allows different users to access the system simultaneously from different PCs inside the same Intranet. The DBMS database system is designed using Microsoft Access. It is the reservoir of all the data. It provides information to the front end when the users query the database. Intelligent agent (back-end) is implemented using Visual C++ 6.0. It takes advantage of the technique of Open Database Connectivity (ODBC) to connect to the DBMS. The Intelligent Agent searches the Internet through the search engine of Google and then inserts the records into the database based on the user preference. The Intelligent Agent can also update the database by deleting the obsolete records automatically. In order to test and implement this application system, it is applied two business cases: (1) Fisheries Resource Conservation Council (FRCC) and (2) Sport Utility Vehicle (SUV) database system. DBMS and back-end are transparent to users. Users simply need to manipulate the front end interface that links the user to all database review and modification functions, as well as to the search and automatic retrieval options. Results of the implementation of the applications are presented and future research applications for Internet information search and retrieval processes are discussed.
CollectionTh├Ęses, 1910 - 2010 // Theses, 1910 - 2010
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