The term "semantic search engines" is particularly relevant in the areas of digital transformation, artificial intelligence, big data and smart data.
Semantic search engines are further developments of traditional search engines such as Google. While traditional search engines mainly search for specific keywords, semantic search engines understand the meaning of the search query. They recognise connections between words and thus produce better, more appropriate results. This means that the search engine thinks for itself, so to speak, and also understands when a question is formulated differently.
A simple example: If someone enters the search "best restaurants for vegetarians nearby", a semantic search engine not only takes into account the keywords "restaurant" and "vegetarian", but also understands that they are looking for vegetarian options in the immediate vicinity. It includes menus, reviews and locations.
For companies, the use of semantic search engines means a huge improvement: customers find what they are looking for more accurately, data is linked in a meaningful way and user satisfaction increases. This intelligent technology is an important part of the digital transformation and a clever contribution to competitiveness, especially with large amounts of data.
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