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