Building emergent social networks and group profiles by semantic user preference clustering
Entity
UAM. Departamento de Ingeniería InformáticaDate
2006Citation
SNA 2006: International Workshop on Semantic Network Analysis at the ESWC 2006: European Semantic Web Conference, ESSI, Budva, June 11-14, 2006Funded by
This research was supported by the European Commission (FP6-027685 – MESH), and the Spanish Ministry of Science and Education (TIN2005-06885). The expressed content is the view of the authors but not necessarily the view of the MESH project as a whole.Project
info:eu-repo/grantAgreement/EC/FP6/027685Subjects
InformáticaNote
This is an electronic version of the paper presented at the International Workshop on Semantic Network Analysis (SNA 2006) at the European Semantic Web Conference (ESWC 2006), held in Budva on 2006Esta obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-SinObraDerivada 4.0 Internacional.
Abstract
This paper presents a novel approach to automatic semantic social
network construction based on semantic user preference clustering. Considering
a number of users, each of them with an associated ontology-based profile, we
propose a strategy that clusters the concepts of the reference ontology according
to user preferences of these concepts, and then determines which clusters are
more appropriate to the users. The resultant user clusters can be merged into individual
group profiles, automatically defining a semantic social network suitable
for use in collaborative and recommendation environments.
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Google Scholar:Cantador Gutiérrez, Iván
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Castells Azpilicueta, Pablo
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