Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment (1995)
| Venue: | In Proc. of the First Int'l Conference on Knowledge Discovery and Data Mining |
| Citations: | 17 - 9 self |
BibTeX
@INPROCEEDINGS{Zaïane95resourceand,
author = {Osmar R. Zaïane and Jiawei Han},
title = {Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment},
booktitle = {In Proc. of the First Int'l Conference on Knowledge Discovery and Data Mining},
year = {1995},
pages = {331--336}
}
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Abstract
With huge amounts of information connected to the global information network (Internet), efficient and effective discovery of resource and knowledge from the "global information base" has become an imminent research issue, especially with the advent of the Information SuperHighway. In this article, a multiple layered database (MLDB) approach is proposed to handle the resource and knowledge discovery in global information base. A preliminary experiment using on-line technical reports, a representative subset of the Internet, shows the advantages of such an approach. A multiple layered database is a database formed by generalization and transformation of the information, layer-by-layer, starting from the original information base (treated as layer-0, the primitive layer). 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. Layer-1 and higher layers of an MLDB can be modeled by an e...
