Multilayered semantic social network modeling by ontology-based user profiles clustering: Application to collaborative filtering
EntityUAM. Departamento de Ingeniería Informática
PublisherSpringer Berlin Heidelberg
10.1007/11891451_30Managing Knowledge in a World of Networks: 15th International Conference, EKAW 2006, Poděbrady, Czech Republic, October 2-6, 2006. Proceedings. Lecture Notes in Computer Science, Volumen 4248. Springer, 2006. 334-349.
ISSN0302-9743 (print); 1611-3349 (online)
ISBN978-3-540-46363-4 (print); 978-3-540-46365-8 (online)
Funded byThe research leading to this document has received funding from the European Community's Sixth Framework Programme (FP6-027685 – MESH), and the Spanish Ministry of Science and Education (TIN2005-06885). However, it reflects only the authors' views, and the European Community is not liable for any use that may be made of the information contained therein.
SubjectsArtificial Intelligence; Information Systems Applications; Information Storage and Retrieval; Informática
NoteProceedings of 15th International Conference, EKAW 2006, Poděbrady, Czech Republic, October 2-6, 2006.
The final publication is available at Springer via http://dx.doi.org/10.1007/11891451_30
Rights© Springer-Verlag Berlin Heidelberg 2006
We propose a multilayered semantic social network model that offers different views of common interests underlying a community of people. The applicability of the proposed model to a collaborative filtering system is empirically studied. Starting from a number of ontology-based user profiles and taking into account their common preferences, we automatically cluster the domain concept space. With the obtained semantic clusters, similarities among individuals are identified at multiple semantic preference layers, and emergent, layered social networks are defined, suitable to be used in collaborative environments and content recommenders.
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