Weblog extraction with fuzzy classification methods
Data(s) |
2009
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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 |