Tuesday, April 8, 2025

How We Live in the Shadows: Taxonomy in Large Wikis

 Jeffrey Scattini, Haley Helgesen, and Lindsay Bachman, of Crunchyroll, talked about a taxonomy in highly unstructured environments. 12 years without a standard IA and multiple knowledge repositories. Much info locked in people's heads. Acquired companies, none with doc people, folded in many doc environments. 

Current IA lift: 16,0000 pages across 70 spaces. Teams organized own content, and were attached to putting content where it made sense for them at the time. Widespead interest in findability, searchability, and relevance. 

Confluence: hero and villain. Inherently amorphous. 

Confluence operates as a "folksonomy." A collaborative classification system of applying user-created keywords to describe and categorize information. 

Designed and implemented a standardized hierarchical taxonomy, applied across all business units. It needs to serve a range of users. To be accessible to all teams, needed  to hear from all teams. 

Started with a card sorting exercise. This identified common patterns and rationalities, which helped created a taxonomic structure with primary, secondary, and tertiary labels. 

A parent-child label schema is the standard backend of a taxonomy. It reinforces the taxonomic language by using consistency and repetition. It fosters inter-document relationships. 

Implemented with a phased approach. Started with content analysis.  Then implementing based on what found in space reorganization. Content audit used Google Sheets with info about pages. Analysis of each page included whether it should be archived, retained, or reviewed, and its place in the taxonomy.

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Shaping the Future of Knowledge Management: Collaborative Innovation in Intelligent Content, Taxonomies, and AI

 Alvin Reyes, of RWS, Harald Statlbauer, of NINEFEB, Mark Gross, of Data Conversion Laboratory, and Lance Cummings, of UNC Wilmington, were ...