A Generic Recommendation System based on Inference and Combination of OWL-DL Ontologies

  • Hélio MartinsEmail author
  • Nuno Silva
Part of the Intelligent Systems, Control and Automation: Science and Engineering book series (ISCA, volume 46)


This paper proposes a generic information recommender system based on (i) OWL DL ontologies, (ii) the inference capabilities of generic classifiers and (iii) information provided from multiple sources. The system dynamically and automatically recommends facts from the user’s repository according to the user’s context, which is automatically inferred according to the information provided from multiple sensors (e.g. user’s agenda, GPS, social networks, etc.). The system operates iteratively, such its output re-feeds the information repositories, and thereafter constraining the next iteration.


Context-aware Recommendation Ontologies 


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.GECAD - Knowledge Engineering and Decision Support Research Group School of EngineeringPolytechnic of PortoPortoPortugal

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