While it may be too late for many to plan travel to Detroit, if you haven't already, it's not to late for virtual registration, including access to on-demand pre-recorded taxonomy-related presentations. The most recent Taxonomy Times listed the taxonomy-related Presentations:• Impact of changing diagnostic nomenclature for mental disorders ontaxonomy maintenance and information retrieval• Auto tagging documents using the ICS-10, CPT and HCPCS code sets in alldocument types• Advanced taxonomy issues: the response of controlled vocabularies to theevolving domains of health and healthcare• Maintaining and Managing a Changing Taxonomy: Taxonomy GovernanceFundamentals• Introduction to Knowledge GraphsI am the presenter of the latter two, which are both pre-recorded, on-demand. (I recently finished and uploaded them.)
• Maintaining and Managing a Changing Taxonomy: Taxonomy GovernanceFundamentals (40 minutes)
Taxonomies provide a link between users and content that enhances findability. Taxonomies are also flexible, and they can and should change as content, systems, or user objectives evolve. However, since taxonomies are controlled vocabularies, changing them also needs to be controlled. Managing change in taxonomies is the main concern of taxonomy governance. This session presents a thorough overview of taxonomy governance including planning, scope, roles and responsibilities, policies and procedures, and types of governance documents. How taxonomy management software and taxonomy standards support governance and where they need to be supplemented by a governance policy is also discussed.• Introduction to Knowledge Graphs (45 minutes)
There is a growing interest in knowledge graphs to organize information and make it findable in organizations with large amounts of data and content. Unlike technologies involving big data or federated search, a knowledge graph has a structure that is typically based on a taxonomy and ontology, and thus the creation of a knowledge graph, should involve information professionals. Knowledge graphs also provide more benefits than information findability, including discovery, analysis, and recommendation. Knowledge graphs bring together content and data. This session explains what a knowledge graph is and how it is built, with a particular focus on the ontology component, and it also presents examples and standards.