Weblog extraction with fuzzy classification methods

Portmann, Edy (2009). Weblog extraction with fuzzy classification methods. In: Proceedings of the Second International Conference on the Applications of Digital Information and Web Technologies (pp. 411-416). IEEE 10.1109/ICADIWT.2009.5273930

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This paper uses folksonomies and fuzzy clustering algorithms to establish term-relevant related results. This paper will propose a Meta search engine with the ability to search for vaguely associated terms and aggregate them into several meaningful cluster categories. The potential of the fuzzy weblog extraction is illustrated using a simple example and added value and possible future studies are discussed in the conclusion.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems > Information Management
03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Information Systems

UniBE Contributor:

Portmann, Edy

Subjects:

600 Technology > 650 Management & public relations

Publisher:

IEEE

Language:

English

Submitter:

Sara D'Onofrio

Date Deposited:

10 Apr 2014 12:05

Last Modified:

02 Nov 2015 10:09

Publisher DOI:

10.1109/ICADIWT.2009.5273930

BORIS DOI:

10.7892/boris.45587

URI:

https://boris.unibe.ch/id/eprint/45587

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