What is Semantic Search?

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 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.

In semantic search, the search engine's programming identifies the keyword in a query but also tries to predict user intent when returning results. When predicting user intent, programming may factor in such things as previous searches, the user's geographical location, trending topics, the relationship between words in the user's query, the relative success of similar queries, ontology interrelationships and the type of device submitting the query.

In semantic search, the search engine's programming identifies the keyword in a query but also tries to predict user intent when returning results. When predicting user intent, programming may factor in such things as previous searches, the user's geographical location, trending topics, the relationship between words in the user's query, the relative success of similar queries, ontology interrelationships and the type of device submitting the query.

Quote from: rajaram on July 24, 2018, 08:24:56 AM
What is Semantic Search?

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 words a person is using for search.

Semantic search seeks to improve search accuracy by understanding how user searches intent and the contextual meaning of terms as they appear in 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