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

Osmar R. Zaiane, Jiawei Han

Efficient and effective 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 different layers of the database, and knowledge discovery can be performed efficiently in such a layered database.

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