Keyword search method of distributed file in large data environment

Abstract

ABSTRACT Improvements are made to a kind of effective search method of big data. When the query request arrives, analyze the user’s query request intention, provide the keywords for the user to select, segment the keywords after determining the keywords finally used by the user, and extract the thematic words and auxiliary words. This paper improves such search method of big data. When the new query request arrives, firstly analyze the user’s query request intention, provide the keywords for the user to select, segment the keywords after determining the keywords finally used by the user, and extract the thematic words and auxiliary words. Make classification matching for the thematic words and historical query, and combine the shared historical query result and query result of a new date after matching. If there is the auxiliary word, take the historical query result as the intermediate result set, continue query on this basis; if there is no auxiliary word, directly take the combination as the query result. The improved search method saves the search time better and improves the query efficiency.