Study of Deep Web Sources Classification Technology

Study of Deep Web Sources Classification Technology

Searching on the Internet today can be compared to dragging a net across the surface of the ocean. While a great deal may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. Deep Web sources store their content in searchable databases that only produce r...

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Bibliographische Detailangaben
1. Verfasser: Huilan Zhao
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Classification algorithms
Clustering algorithms
Data mining
Information retrieval
Internet
Marine technology
Radio control
Search engines
Web pages
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Beschreibung
Zusammenfassung:Searching on the Internet today can be compared to dragging a net across the surface of the ocean. While a great deal may be caught in the net, there is still a wealth of information that is deep, and therefore, missed. Deep Web sources store their content in searchable databases that only produce result dynamically in response to a direct request. In this paper, we proposed an automatic classification algorithm of Deep Web sources based on hierarchical clustering method in order to facilitate users to browse this valuable information.
DOI:10.1109/MMIT.2010.25