Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The Social Life of Information
The Social Life of Information
IEEE Intelligent Systems
OntoSphere3D: A Multidimensional Visualization Tool for Ontologies
DEXA '06 Proceedings of the 17th International Conference on Database and Expert Systems Applications
Ontological reasoning to configure emotional voice synthesis
RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems
ArsMeteo: artworks and tags floating over the planet art
Proceedings of the 20th ACM conference on Hypertext and hypermedia
ArsEmotica: emotions in the social semantic web
Proceedings of the 7th International Conference on Semantic Systems
Uniting formal and informal descriptive power: Reconciling ontologies with folksonomies
International Journal of Information Management: The Journal for Information Professionals
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This work focusses on bridging between folksonomies, which provide social but mainly flat and unstructured metadata on web resources, and semantic web ontologies, which instead design structured, machine-processable knowledge spaces. The main purpose is to capture emerging semantics in social tagging systems and to overcome the gap between Semantic Web and Web 2.0, by preserving the complementary advantages of social and ontology-driven methods for describing, categorizing and processing web content. As a way to bridge this gap, we propose a method for linking tags from a folksonomy to concepts of an existing ontology, adopting a statistic approach. We have applied the proposed method to the data collected through the art portal Arsmeteo, relating them to the concepts of an OWL ontology of emotions. Intuitively, by our method we try to capture the latent emotional semantics of the tags. Some of the artworks in Arsmeteo could be visited in real exhibitions. In order to capture the emotional potential of the tagging activity during the visit, we explored the possibility to enable tagging of artifacts in real spaces, by using Semacode technology.