Personalizing health and food advices by semantic enrichment of multilingual cross-domain questions

Web search engines help in retrieving the scattered information from the Web, albeit with a number of limitations. They can´t understand or enrich the user´s natural language questions easily or offer the recommendation that fits the user´s exact needs. Health and food information are examples of critical domains where the users have a lot of questions that need to be understood well, enriched and processed to retrieve answers that match the user´s needs. Using the personalization and the semantic techniques help us to propose a framework that enriches the user´s questions and retrieves more relevant results. In this paper, we analyze the user´s preferences related to the health and food domains, and then propose a user´s profile ontology that represents these preferences and map them to the pre-defined domain ontologies. The proposed framework has been implemented and the experimental results show promising results with user satisfaction.