@inproceedings{fef51a77288e48be8ab3f4a57b574ac0,
title = "Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment",
abstract = "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.",
author = "Za{\"i}ane, {Osmar R.} and Jiawei Han",
note = "*Research partially supported by the Natural Sciences and Engineering Research Council of Canada under the grant OGP0037230 and by the Networks of Centres of Excellence Program of Canada under the grant IRIS-HM15.; 1st International Conference on Knowledge Discovery and Data Mining, KDD 1995 ; Conference date: 20-08-1995 Through 21-08-1995",
year = "1995",
language = "English (US)",
series = "KDD 1995 - Proceedings of the 1st International Conference on Knowledge Discovery and Data Mining",
publisher = "American Association for Artificial Intelligence (AAAI) Press",
pages = "331--336",
editor = "Fayyad, {Usama M.} and Ramasamy Uthurusamy",
booktitle = "KDD 1995 - Proceedings of the 1st International Conference on Knowledge Discovery and Data Mining",
address = "United States",
}