AI Still Needs a Map
Artificial intelligence (AI) has changed how we search for information. We can ask questions conversationally, explore unfamiliar topics and receive answers without knowing the exact keywords. But that convenience does not eliminate the need to organize information. It makes a strong foundation even more valuable. This important topic came to us from LinkedIn inn their article, “Why findability in the AI Era still starts with ranking.”
A taxonomy provides that foundation: a structured system of categories and terms that describes content consistently. It connects related concepts, clarifies meaning and helps distinguish subjects that share similar language. Standards such as SKOS support preferred labels, alternative terms and relationships between concepts.
Consider an organization whose employees use “professional development,” “staff training,” and “continuing education” interchangeably. Relevant resources may be scattered across departments and systems. A thoughtfully designed taxonomy can connect those terms while preserving meaningful differences, helping people discover material they might otherwise miss.
AI can infer connections, but inference benefits from clear context. When taxonomy terms are applied consistently and incorporated into retrieval, they can help narrow searches, organize results and connect questions with relevant content. They also give organizations an explicit vocabulary they can review and improve.
The strongest approach combines AI’s flexibility with human expertise. Subject specialists understand their audiences, organizational language and distinctions that matter. AI can assist with suggesting tags and identifying patterns, while people maintain the structure and resolve ambiguity.
Taxonomies need regular attention as language, content and user needs change. They are living tools.
Findability still depends on connecting people with information they can use. AI offers new ways to make that connection. Taxonomies help provide the map.
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Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
