Assistive and Automatic Tools for Tagging and Categorizing Anything

Knowledgeable human beings are undisputedly the best source for authoring high-quality metadata, but the information machine is too fast for our bodies. Thankfully, we have performance enhancements; tools that leverage what we know and we've done already without succumbing to the cloud.

This presentation briefly introduces the statistical and rules-based metadata application approaches in today's market, and then focuses in on their practical applications and limitations in business and research. We'll explore the roles of taxonomy and ontology within auto-tagging, whether you should build or buy a taxonomy, and when you need to "break the rules" to make your systems work together better. Auto-tagging and autoclassification aren't magic bullets either; learn the important distinction between assisted and automatic techniques, and how to balance the appeal of an out-of-the-box solution with your real-life needs for long-term maintenance and change management