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Description
While taxonomies support findability and information retrieval, ontologies support additional information retrieval methods, such as enabling complex queries, the exploration of different relationships, and quick access to associated data, and not just content. The Semantic Web standards, upon which modern information ontologies are built, have brought ontologies more closely aligned to taxonomies and other knowledge organization systems, than the merely computer science use of ontologies of the past. Integrating ontologies with taxonomies has many practical applications, which increasingly more companies and organizations are implementing. This educational session teaches the fundamental principles of ontologies for information science, including their definitions, types, standards, benefits, and uses, including knowledge graphs. It then instructs by ways of examples, how to extend a taxonomy to become an ontology, and then addresses issues in modeling and designing ontology classes, relations, and attributes, including best options and practices. Tools and technologies will also be addressed.