Taxonomy Alignment for SDG Tagging

In the session  “Utilizing Taxonomies to Meet UN SDG Obligations“ co-presented at KMWorld 2025 on November 17th, Enterprise Knowledge’s Ben Kass and ASHA’s Mike Cannon discuss how they structured taxonomies within an ongoing auto-tagging implementation to serve content management and analytics needs for ASHA’s scientific journals, with a special focus on connecting ASHA research to UN Social Development Goals.

Kass and Cannon detailed how a purpose-built taxonomy serves as the foundation for automated tagging workflows. By moving beyond manual categorization, the project demonstrated how structured metadata can be engineered to meet high-level business objectives, such as tracking the impact of scientific research against global ethical standards.

The discussion highlighted the technical and strategic benefits of integrating taxonomies into an ongoing implementation. Participants in this session gained insights into:

  • Taxonomy-Driven Auto-Tagging: How to structure taxonomies to facilitate automated metadata assignment within a publishing workflow.
  • Content Management and Analytics: Utilizing structured data to drive targeted content groupings and advanced reporting.
  • Strategic Goal Alignment: Techniques for connecting scientific research to external frameworks like the UN Sustainable Development Goals.
  • Organizational Priorities: Promoting ethical obligations and evidence-based research through improved content visibility and coverage analysis.

Slide Deck

Ben Kass Ben Kass is a taxonomy and ontology technical consultant with experience in knowledge graph development and governance processes across a variety of domains and organizations. He enjoys the challenge of developing and maintaining vocabularies that satisfy stakeholder needs and is always looking to learn new tools and techniques for the creation of semantic organization systems. More from Ben Kass »