Semantic Relevance in Google

Through the news of Technewsworld's post by Jack M. Germain, Google is searching internet pages by using the semantic relevance of the words in search text. It seems like an addoptation to the new semantic relevance and semantic web developments but this seems like it does not fit on semantic web idea. Snippets are the first semantic relevance improvement and they are the small links below the search results for faster navigation for the users needs. They are making these results more likely to user needs and question and the way to use this is the semantic relevance between the snippet and the keywords of the query.
The second improvement is the search results semantic relevance. "The technology analyzes Web page content related to the query and determines the relevance of people, places or concepts to the query. The process only needs fractions of seconds. " Technewsworld.com says and the idea of the semantic relevance among pages is a hard-working and scalable job incase of million of pages the search can be relevant to.
In both of these improvements, the research of the semantic search is still continuing and the future is on the fully semantic search which have bases on the semantic web techbologies as Ori Allon the chief of search technologies of Google is mentioned.