A Fuzzy Grassroots Ontology for improving Weblog Extraction
| Data(s) |
2010
|
|---|---|
| Resumo |
This paper presents fuzzy clustering algorithms to establish a grassroots ontology – a machine-generated weak ontology – based on folksonomies. Furthermore, it describes a search engine for vaguely associated terms and aggregates them into several meaningful cluster categories, based on the introduced weak grassroots ontology. A potential application of this ontology, weblog extraction, is illustrated using a simple example. Added value and possible future studies are discussed in the conclusion. |
| Formato |
application/pdf |
| Identificador |
Portmann, Edy; Meier, Andreas (2010). A Fuzzy Grassroots Ontology for improving Weblog Extraction. Journal of Digital Information Management, 8, pp. 276-284. Digital Information Research Foundation doi:10.7892/boris.45584 urn:issn:0972-7272 |
| Idioma(s) |
eng |
| Publicador |
Digital Information Research Foundation |
| Relação |
http://boris.unibe.ch/45584/ |
| Direitos |
info:eu-repo/semantics/restrictedAccess |
| Fonte |
Portmann, Edy; Meier, Andreas (2010). A Fuzzy Grassroots Ontology for improving Weblog Extraction. Journal of Digital Information Management, 8, pp. 276-284. Digital Information Research Foundation |
| Palavras-Chave | #650 Management & public relations |
| Tipo |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion PeerReviewed |
