What is the Semantic Search ?
 

What is the Semantic Search ?

Semantic search is a data search technique. It provides more meaningful search results and the search phrase and finding the most relevant results in the search engine.

Semantic search seeks to improve search accuracy by understanding the searcher's 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 is a phrase that many people use to refer to the effort by search engines to do a better job in understanding natural language queries. But it also involves a lot more than that, such as the context of the searcher at the moment they enter a query.

It provides more meaningful search results and the search phrase and finding the most relevant results in the search engine.

Semantic search seeks to improve search accuracy by understanding a searcher's intent through contextual meaning.

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.

Semantic search seeks to improve search accuracy by understanding the searcher's 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 seeks to improve search accuracy by understanding the searcher's 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.[1] Major web search engines like Google and Bing incorporate some elements of semantic search. In vertical search, LinkedIn publishes their semantic search approach to job search by recognizing and standardizing entities in both queries and documents, e.g., companies, titles and skills, then constructing various entity-awared features based on the entities.

Semantic search is a data search technique. It provides more meaningful search results and the search phrase and finding the most relevant results in the search engine.

Semantic search is when the search engines almost take things a step further to retrieve other relevant search results. It's the process of understanding the language you are using to identify other relevant search results.

Semantic search seeks to improve search accuracy by understanding the searcher's 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 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.

Semantic search provides more meaningful search results by evaluating and understanding the search phrase and finding the most relevant results in a website, database or any other data repository.

Semantic search denotes search with meaning, as distinguished from a lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query.

Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without understanding the overall meaning of the query.