@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 = "Publisher Copyright: {\textcopyright} 1995, AAAI (www.aaai.org). All rights reserved.; 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",
}