Knowledge Retrieval System Development by using Vector Space Model

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Keywords:
Long text Matching Information Retrieval Vector Space Model Lucene

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Sasithorn Lertariyatham
Faculty of Information Technology, King Mongkut's University of Technology North Bangkok
Pongpisit Wuttidittachotti
Faculty of Information Technology, King Mongkut's University of Technology North Bangkok
Somchai Prakancharoen
Faculty of Information Technology, King Mongkut's University of Technology North Bangkok
Sakda Arj-ong Vallipakorn
Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok

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.

Article Details

Issue
Vol. 5 No. 1 (2015): April 2015 - September 2015
Section
ACTIS Article

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