Multi-source Provenance-aware User Interest Profiling on the Social Semantic Web

  • Fabrizio Orlandi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7379)

Abstract

The creation of accurate user profiles of interest across heterogeneous websites is a fundamental step for personalisation, recommendations and analysis of social networks. The opportunities offered by the Web of Data and Semantic Web technologies introduce new interesting challenges. In particular, the main benefits for user profiling techniques are given by the extensive amount of already available and structured information and the solution to the “cold start” problem. On the other hand it is difficult to manage a massive “open corpus” such as the Web of Data and select only the relevant features and sources from an heterogeneous collection of datasets. Hence we propose semantic technologies for interlinking social websites and provenance management on the Web of Data to retrieve accurate information about data producers. The goal is to build comprehensive user profiles based on qualitative and quantitative measures about user activities across social sites.

Keywords

Social Web Semantic Web User Modelling User Profiles Web of Data Provenance of Data 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fabrizio Orlandi
    • 1
  1. 1.Digital Enterprise Research InstituteNational University of IrelandGalwayIreland

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