Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment

Eficient and efiective discovery of resource and knowledge from the Internet has become an imminent research issue, especially with the advent of the Information Super-Highway. A multiple layered database (MLDB) approach is proposed to handle the resource and knowledge discovery in global information base. A preliminary experiment shows the advantages of such an approach. Information retrieval, data mining, and data analysis techniques can be used to extract and transform information from a lower layer database to a higher one. Resources can be found by controlled search through dinerent layers of the database, and knowledge discovery can be performed eficiently in such a layered database.

• Type: Conference
• Year: 1995
• Where: KDD
• Authors: Osmar R. Zaïane, Jiawei Han
• Keywords: Data Mining, KDD 1995, Knowledge Discovery, Layered Database, Multiple Layered Database