Weblog extraction with fuzzy classification methods


Autoria(s): Portmann, Edy
Data(s)

2009

Resumo

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.

Formato

application/pdf

Identificador

http://boris.unibe.ch/45587/1/Weblog%20Extraction%20with%20Fuzzy%20Classification%20Methods.pdf

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 <http://dx.doi.org/10.1109/ICADIWT.2009.5273930>

doi:10.7892/boris.45587

info:doi:10.1109/ICADIWT.2009.5273930

Idioma(s)

eng

Publicador

IEEE

Relação

http://boris.unibe.ch/45587/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

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 <http://dx.doi.org/10.1109/ICADIWT.2009.5273930>

Palavras-Chave #650 Management & public relations
Tipo

info:eu-repo/semantics/conferenceObject

info:eu-repo/semantics/publishedVersion

PeerReviewed