Semantic Emergence From Social Tagging Systems

摘要: Recently, Social tagging systems folksonomies have become very popular platforms where content is created collaboratively by users. This kind of environments allows users to assign shared resources with freely chosen keywords tags. Folksonomies provide a valuable addition the knowledge organization methods since they allow choose vocabularies that meet their real tastes and cognition. However, lacking standardization flat structure tags in pose challenges for folksonomy searching information retrieval. Several researches been proposed overcome these drawbacks. In this paper, authors present, describe compare most relevant approaches capturing hidden semantics turning it into ontologies. The also present many techniques, tools online can be useful working on such systems. Finally, propose an approach extract ontology from social