Semantic search is a search technique that aims to understand the meaning of a query and provide more relevant search results. It goes beyond traditional keyword-based searches by analyzing the context, intent, and relationships between words. This topic came to us from Fedscoop in their article, “Microsoft launches generative AI service for government agencies.”
Instead of just matching keywords, semantic search engines use natural language processing (NLP) to interpret the user’s query and extract relevant information from a database. This allows them to consider synonyms, related concepts, and even user intent when generating results.
Semantic search has come a long way since its inception in the early 2000s. As artificial intelligence (AI) technology continues to advance, we can expect semantic search to become even smarter and more intuitive in the future.
Giving data findability is something we know. Whatever the search, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.
Melody K. Smith
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