Protégé is an opensource machine learning and knowledge management platform that enables users to build, share, and manage complex ontologies for AI applications. Widely used in research and industry, Protégé offers a suite of tools for defining classes, properties, and relationships, facilitating the modeling of intricate domains. With its intuitive interface, Protégé allows users to develop machine learning models that rely on structured data for enhanced reasoning and decisionmaking. The platform also supports custom plugins, extending its capabilities for specialized needs, and integrates smoothly with other AI and ML tools. Additionally, Protégé’s collaborative features allow multiple users to work simultaneously on projects, promoting teamwork and transparency. Ideal for research, biomedical, and enterprise applications, Protégé streamlines knowledge engineering, enabling teams to design robust, AIready data architectures efficiently.
Center for Biomedical Informatics Research
United States
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Model Training
