Ontologies are us: A unified model of social networks and semantics

By Peter Mika. Journal of Web Semantics, 2005

1,359 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Communication, Information Systems

View Paper: https://www.semanticscholar.org/paper/4c74d79a646e91a2ceb00a0c1bda7d8dddf63fd4

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Citations in the corpus

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.”
Flickr tag recommendation based on collective knowledge (2008, methodology): “Several variations of asymmetric co-occurrence measure have been proposed in literature before to build tag (or term) hierarchies [20] [17] [21].”
Exploring folksonomy for personalized search (2008, background): “The underlying link structure of the tagging systems has been explored in many prior efforts [4, 18, 27].”
Community detection in Social Media (2012, methodology): “A folksonomy comprises three types of entities, namely users, resources and tags (Mika 2005).”
Recommender Systems (2012, methodology): “To alleviate these problems, advanced methods such as tag hierarchical clustering [276], introduction of ontologies [277] and recommendation of tags [278] were proposed.”
Personalized recommendation in social tagging systems using hierarchical clustering (2008, background): “A folksonomy can, therefore, be viewed as a tripartite hypergraph [11] with users, tags, and resources represented as nodes and the annotations represented as hyper-edges connecting one user, tag and resource.”
Exploring social annotations for the semantic web (2006, background): “[25] proposes to extend the traditional bipartite model of ontology with a social dimension.”
Information Retrieval in Folksonomies: Search and Ranking (2006, background): “In [10], Mika defines a model of semantic-social networks for extracting lightweight ontologies from del.”
Integrating Folksonomies with the Semantic Web (2007, background): “Mika (2005) extends the traditional bipartite model of ontology with a social dimension, yielding in a tripartite model involving users (act ors), tags (concepts), and resources (instances of concepts). With a subset of del.icio. us’ tags, based on the co-occurrence of tags with resources and users,”
The complex dynamics of collaborative tagging (2007, methodology): “Our model is based on Mika’s formalization of tagging, but additionally incorporates the information value of tags which we believe allows for a more complete account of tagging [12].”
POLYPHONET: an advanced social network extraction system from the web (2006, background): “For example, if numerous people share two concepts, the two concepts might be related [32, 33].”
Web Data Extraction, Applications and Techniques: A Survey (2012, background): “social networks and communities [Mika 2007], bio-informatics [Hu et al.”