In the realm of organizing information, taxonomies are essential for improving findability and making content accessible. While artificial intelligence (AI) has introduced automated taxonomy creation, custom taxonomies remain a superior choice for achieving precision, relevance and findability. Content Science Review brought this topic to us in their article, “What Is a Taxonomy for Content?“
Custom taxonomies are built with the unique requirements of a specific organization, audience or industry in mind. They reflect the language, terminology and priorities of the users they serve, ensuring that content categorization aligns with their expectations. AI-generated taxonomies, while fast, often rely on generalized patterns that may not adequately address the nuances of specialized fields or niche topics.
Human-designed taxonomies excel at incorporating context, a critical factor in information organization. Taxonomy creators can account for subtle relationships between concepts and include variations in meaning or usage. AI often struggles with contextual subtleties, which can lead to misclassification or irrelevant associations that hinder effective search and navigation.
While AI-generated taxonomies offer speed and scalability, they often fall short in delivering the precision and relevance required for optimal findability. Custom taxonomies, crafted with care and expertise, provide a more effective solution by tailoring to specific needs, considering context and adapting to change. For organizations seeking to improve how users navigate and discover information, investing in custom taxonomies remains the best approach.
Melody K. Smith
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