Semantic Modelling of User Interests Based on Cross-folksonomy Analysis

Presented at: 7th International Semantic Web Conference (ISWC2008)

by Martin Szomszor, Harith Alani, Ivan Cantador, Kieron O'Hara, Nigel R. Shadbolt

Webpage: http://dx.doi.org/10.1007/978-3-540-88564-1_40
Webpage: https://github.com/lidingpku/iswc-archive/raw/master/paper/iswc-2008/53180622.pdf

The continued increase in Web usage, in particular participation in folksonomies, reveals a trend towards a more dynamic and interactive Web where individuals can organise and share resources. Tagging has emerged as the de-facto standard for the organisation of such resources, providing a versatile and reactive knowledge management mechanism that users find easy to use and understand. It is very common nowadays for users to have multiple profiles in various folksonomies, thus distributing their tagging activities. In this paper, we present a method for the automatic consolidation of user profiles accross two popular social networking sites, and subsequent semantic modelling of their interests utilising Wikipedia as a multi-domain model. We evaluate how much can be learned from such sites, and where the knowledge acquired is focussed. Results show that far richer interest profiles can be generated for users when their multiple tag clouds are combined.

Keywords: Folksonomy, Semantic Profiles, Social Networking, Wikipedia, Semantic Web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/research/172


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