document: Exploring social annotations for the semantic web In order to obtain a machine understandable semantics for web resources , research on the Semantic Web tries to annotate web resources with concepts and relations from explicitly defined formal ontologies . This kind of formal annotation is usually done manually or semi-automatically . In this paper , we explore a complement approach that focuses on the `` social annotations of the web '' which are annotations manually made by normal web users without a pre-defined formal ontology . Compared to the formal annotations , although social annotations are coarse-grained , informal and vague , they are also more accessible to more people and better reflect the web resources ' meaning from the users ' point of views during their actual usage of the web resources . Using a social bookmark service as an example , we show how emergent semantics ( 2 ) can be statistically derived from the social annotations . Furthermore , we apply the derived emergent semantics to discover and search shared web bookmarks . The initial evaluation on our implementation shows that our method can effectively discover semantically related web bookmarks that current social bookmark service can not discover easily .
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