TWO-LEVEL N-GRAM INDEX STRUCTURE AND METHODS OF INDEX BUILDING, QUERY PROCESSING AND INDEX DERIVATION

Disclosed relates to a structure of two-level n-gram inverted index and methods of building the same, processing queries and deriving the index that reduce the size of n-gram inverted index and improves the query performance by eliminating the redundancy of the position information that exists in the n-gram inverted index.The inverted index of the present invention comprises a back-end inverted index using subsequences extracted from documents as a term and a front-end inverted index using n-grams extracted from the subsequences as a term. The back-end inverted index uses the subsequences of a specific length extracted from the documents to be overlapped with each other by n−1 (n: the length of n-gram) as a term and stores position information of the subsequences occurring in the documents in a posting list for the respective subsequences. The front-end inverted index uses the n-grams of a specific length extracted from the subsequences using a 1-sliding technique as a term and stores position information of the n-grams occurring in the subsequences in a posting list for the respective n-grams.