A fuzzy grassroots ontology for improving social semantic web search
| Data(s) |
2011
|
|---|---|
| Resumo |
The web is continuously evolving into a collection of many data, which results in the interest to collect and merge these data in a meaningful way. Based on that web data, this paper describes the building of an ontology resting on fuzzy clustering techniques. Through continual harvesting folksonomies by web agents, an entire automatic fuzzy grassroots ontology is built. This self-updating ontology can then be used for several practical applications in fields such as web structuring, web searching and web knowledge visualization.A potential application for online reputation analysis, added value and possible future studies are discussed in the conclusion. |
| Formato |
application/pdf |
| Identificador |
http://boris.unibe.ch/45582/1/AFuzzyGrassrootsOntologyForImprovingSocialSemanticWebSearch.pdf Portmann, Edy (2011). A fuzzy grassroots ontology for improving social semantic web search. In: Proceedings of 6th International Summer School on Aggregation Operators (pp. 189-194). Lulu doi:10.7892/boris.45582 urn:isbn:978-1-4477-7019-0 |
| Idioma(s) |
eng |
| Publicador |
Lulu |
| Relação |
http://boris.unibe.ch/45582/ |
| Direitos |
info:eu-repo/semantics/restrictedAccess |
| Fonte |
Portmann, Edy (2011). A fuzzy grassroots ontology for improving social semantic web search. In: Proceedings of 6th International Summer School on Aggregation Operators (pp. 189-194). Lulu |
| Palavras-Chave | #650 Management & public relations |
| Tipo |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion PeerReviewed |
