Domain-based semantic search in the news Through auto-query expansion

Search engines start by typing several words and pressing the search button. Often, when searching for a specific person, they enter the name of the person and click the search button. This type of search leads to problems that many researchers are trying to solve. The search result for the search person is a combination of different information related to several people with common names. To solve this problem in this research, a solution to improve the search engine using semantic search is provided. The user query is expanded automatically first. This expansion is performed using the IT domain's ontology and its relationships, built using an existing ontology. Then a vector is created according to the user's interest. In this vector, both the user's interest (in the type of news being read) and the query entered by the user, which has been expanded using domain's ontology, will be affected by a factor. Finally, The result of the combined research is that by having large data without knowing the semantic structure of words, by associating words with each other and tasteful communication between users, the meaning of communication between words can be found. In addition to the use of ontology, it is also a textual search method using recommendatory methods that has more dominant power.