SEO algorithm

seeks to improve search accuracy by understanding searcher intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Semantic search systems consider various points including context of search, location, intent, variation of words, synonyms, generalized and specialized queries, concept matching and natural language queries to provide relevant search results. Major web search engines like Google and Bing incorporate some elements of semantic search.

Yet we’re two years on, and anyone who uses Google knows the dream of semantic search has not been realized. It’s not that Google meets none of the criteria, but Google falls far short of the full definition.

For instance, it does use databases to define and associate entities. However, a semantic engine would understand how context affects words and then be able to assess and interpret meaning.

Google does not have this understanding. In fact, according to some, Google is simply navigational search — and navigational search is not considered by definition to be semantic in nature.