Ontology reasoning, a method to derive new knowledge from data, has shown to enhance the understanding of complex relationships in biomedical data. By using the Neo4j database with the Neosemantics plugin, researchers can now leverage RDF data to uncover implicit connections. This approach has been applied to medical data, aiding clinicians in their decision-making processes. The process involves a structured framework of concepts, which, when combined with logical reasoning, can reveal up to 90% more insights than traditional data analysis methods. This significant increase in data interpretation capability is achieved by following a step-by-step mental model, as outlined in the article. The integration of Web Ontology Language (OWL) and RDF Schema (RDFS) further enriches the data, making it possible to generate new knowledge through logical processes.
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