Title: Vietnamese Knowledge Base development and exploitation

Authors: Tuoi Thi Phan, Thanh Chanh Nguyen

Addresses: Faculty of Computer Science and Engineering, HCMC University of Technology, HCMC 70999, Vietnam. ' Faculty of Computer Science and Engineering, HCMC University of Technology, HCMC 70999, Vietnam

Abstract: At present, there have been many Vietnamese researches focusing on developing Knowledge Base (KB) for Vietnamese and exploiting its data to support others applications in wide areas. The paper introduces an approach which applies Support Vector Machine (SVM) for Vietnamese KB (VKB) development and a new solution for user questions answering based on Dependent Grammar also VKB data exploitation. For further research, our primary targets in other are to improve VKB quality and answer-finding algorithms on faster text-searching solutions also lower run-time progress, and mechanism to generate answers in natural language format for found result of these algorithms.

Keywords: term extraction; topic classification; KB; SVM; support vector machines; VKB; Vietnamese knowledge base; data exploitation; Vietnam; dependent grammar.

DOI: 10.1504/IJBIDM.2011.038275

International Journal of Business Intelligence and Data Mining, 2011 Vol.6 No.1, pp.71 - 89

Published online: 22 Apr 2015 *

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