Posts

Gary Carlson

When “Broken” Search is a Trailing Indicator of Deeper Issues

Often, after digging into projects it becomes clear that “search” is a trailing indicator of more systemic problems. Fixing or replacing a search engine is not always sufficient to address the underlying goals (even though it is necessary in some cases). "Search" projects often morph into knowledge management, content strategy, or information modeling initiatives where the search engine is really the final consumer of the work that needs to be done. Read more »

Taxonomies and AI Chatbots

This blog post is adapted from a Presentation by Gary Carlson at Taxonomy Bootcamp, November 2018 Taxonomies, AI, and Chatbots: Connecting People With Information There is a natural relationship between AI chatbots and taxonomies—but how do they work together? More importantly, how can taxonomies/ontologies support best AI practices? Taxonomies and ontologies interact with, support, and […] Read more »

Scalable Taxonomies

In working on enterprise taxonomy projects, the issue of scale always comes up. “Scale” is a word that gets tossed around a lot but what does it really mean for taxonomies? How can taxonomies scale? What do organizations need to think about when considering requirements for taxonomy scale? We’ve found that the best way to […] Read more »

Taxonomy Workshop – Designing and Building Taxonomies for eCommerce and the Enterprise

Join the Factor team for this taxonomy that workshop geared to the taxonomy needs of enterprise scale taxonomies. We will cover the breadth of inputs needed to design taxonomies and then show how to translate these inputs into a durable and sustainable taxonomy. The workshop includes activities geared to provide experience with many aspects of the taxonomy design and building process. Read more »

Implementing Taxonomies and IA: Ensuring Success

So, you did all this work and built these fantastic taxonomies and navigation models. Aren’t you done yet? Not really. Like architectural or backcountry trip plans, the realities of the situation will require modifications and adjustments to the information architecture.  The taxonomies, metadata, content models, and navigation that make up the IA will all be tested during implementation. […] Read more »