Knowledge Retrieval System Development by using Vector Space Model

Abstract

This research was conducted to develop a system for data retrieval stored in the form of questions and answers by the Long text Matching for facilitate to user in
Vanich International Co., Ltd. Make Index from word that consist from Long text Matching process by the Inverted Indexing. Sort and search output by Vector
Space Model(VSM). The experimental results of 100 questions process by 50 queries using Cosine formula. The result is 87.50 percent of the precision, 89.70
percent of the recall, and 85.50 percent of accuracy by F-measurement.