Semantic Search Engine Using Content and Location Ontology Extraction
Since the number of Internet users' increases today it is becoming difficult to find a document that is relevant to the user's particular needs. The problem is that the identical information which is retrieved is presented commonly without any difference. Here the personalization method is proposed to tailor search results based on the user's interests, thus allowing for more efficient and relevant information access. Personalization of information retrieval involves identifying the user context and organizing them in such a way that improves the search precision. The goal is to build ontology-based user profiles based on the extracted content and location ontologies.