Search Is Not About Keywords Anymore
Search used to be pretty simple. You typed in a few words and the system looked for pages that repeated those words back to you. The more matches, the better the result. It worked well enough for a while, as long as you knew exactly what to type and spelled it correctly. The Scholarly Kitchen brought this topic to our attention in their article, “Keywords Are Not Dead — But Discovery Is No Longer Just Search.“
Then people started searching like people. Full questions, half thoughts, slangs, all of it. Suddenly, keyword matching felt a little out of its depth. Search had to grow up and learned how to understand what we meant, not just what we typed.
That is where things started to shift. Modern search is built around intent and context. It looks at how words relate to each other, what you have searched before, where you are and even when you are searching. It is less about matching terms and more about figuring out what you are actually trying to find.
Artificial intelligence (AI) has pushed this even further. With natural language processing, search feels more like a conversation. You can ask a question the way you would ask a person and get something that actually makes sense in return.
At this point, search is not just about finding content. It is about delivering the right answer at the right moment. And behind the scenes, that only works if your content is organized in a way that can be understood. A strong, standards-based taxonomy makes that possible. Data Harmony, our patented and award winning AI suite, uses explainable AI to power precise semantic discovery so the right information shows up exactly when it should.
Melody K. Smith
Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
