Exploring social annotations for the semantic web

By Xianqi Wu, Lei Zhang, Yong Yu. The Web Conference, 2006

441 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/d0165199159992b50a001b1c0c9513f94c9e46e0

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Citations in the corpus

Personalized recommendation in social tagging systems using hierarchical clustering (2008, background): “In [18], tag clusters are presumed to be representative of the resource content.”
Why web 2.0 is good for learning and for research: principles and prototypes (2008, background): “For instance, [1, 8, 42] investigate the usage of tags for ontology generation and authoring support.”
Tag-based social interest discovery (2008, background): “We noticed that there exist other powerful approaches in the area, e.g., probabilistic learning [12, 13, 16 ].”
Optimizing web search using social annotations (2007, background): “2 Research on Social Annotations Existing research on social annotations includes “folksonomy” [2, 24], visualization [18], emergent semantics [25], semantic web [36], enterprise search [23] etc.”
Integrating Folksonomies with the Semantic Web (2007, background): “, 2006) and (Wu et al., 2006).”