A lot has changed and improved since the first-generation search technologies. Today’s modernized search platforms make it easier to build infrastructure, integrate with content sources and improve relevancy. InfoWorld brought this interesting information to us in their article, “Why you should modernize search technologies.”
Semantic search is a data searching technique in a which a search query aims to not only find keywords, but to determine the intent and contextual meaning of the the words a person is using for search. The impact of context in our daily conversations is endless because it’s not only linked to what has been previously said or what followed.
Semantic search is linked to machine learning, in that it uses past data and trial-and-error patterns to enhance your user’s experience. It looks at the purpose and intent of a search.
At the end of the day, search needs to find content, and that happens with a strong, standards-based taxonomy. Data Harmony is our patented, award winning, artificial intelligence (AI) suite that leverages explainable AI for efficient, innovative and precise semantic discovery of your new and emerging concepts to help you find the information you need when you need it.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Data Harmony, harmonizing knowledge for a better search experience.
