Computer Science – Information Retrieval
Scientific paper
May 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000cophc.127..215g&link_type=abstract
Comput. Phys. Commun., Vol. 127, No. 2 - 3, p. 215 - 227
Computer Science
Information Retrieval
3
Data Bases: Information Retrieval
Scientific paper
Self-organization or clustering of data objects can be a powerful aid towards knowledge discovery in distributed databases. The web presents opportunities for such clustering of documents and other data objects. This potential will be even more pronounced when XML becomes widely used over the next few years. Based on clustering of XML links, the authors explore a visualization approach for discovering knowledge on the web.
Guillaume Damien
Murtagh Fionn
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