A fuzzy grassroots ontology for improving social semantic web search

TitleA fuzzy grassroots ontology for improving social semantic web search
Publication TypeConference Paper
Year of Publication2011
AuthorsPortmann, E
Conference NameProceedings of 6th International Summer School on Aggregation Operators
PublisherLulu
KeywordsFolksonomy, Fuzzy Data Clustering, Knowledge Visualization, Ontology, Search engine, Semantic Web, Social semantic web, Social Web.
Abstract

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.

URLhttps://boris.unibe.ch/45582/