eprintid: 1491
rev_number: 7
eprint_status: archive
userid: 4
dir: disk0/00/00/14/91
datestamp: 2016-04-18 12:32:37
lastmod: 2016-04-18 12:32:37
status_changed: 2016-04-18 12:32:37
type: article
metadata_visibility: show
creators_name: Nguyen, Quoc Dat
creators_name: Nguyen, Quoc Dai
creators_name: Pham, Bao Son
creators_id: sonpb@vnu.edu.vn
title: Ripple Down Rules for Question Answering
ispublished: pub
subjects: IT
subjects: isi
divisions: fac_fit
abstract: Recent years have witnessed a new trend on building ontology-based question answering systems, that is to use semantic web information to provide more precise answers to users' queries. However, these systems are mostly designed for English, therefore, we introduce in this paper such a system for Vietnamese, that is, to the best of our knowledge, the first one made for Vietnamese. Different from most of previous works, we propose an approach that systematically builds a knowledge base of grammar rules for processing each input question into an intermediate representation element. Then we take this element with respect to a target ontology by applying concept-matching techniques for returning an answer. Experimental results show that the performance of the system on a wide range of Vietnamese questions is promising with accuracies of 84.1% and 82.4% for analyzing question and retrieving answer, respectively. Furthermore, our approach to the question analysis can easily be applied to new domains and new languages, thus saving time and human effort.
date: 2015
date_type: published
publisher: IOS Press
official_url: http://www.iospress.nl/journal/semantic-web/
full_text_status: public
publication: Semantic Web Journal
refereed: TRUE
issn: 1570-0844
citation:   Nguyen, Quoc Dat and Nguyen, Quoc Dai and Pham, Bao Son  (2015) Ripple Down Rules for Question Answering.  Semantic Web Journal .    ISSN 1570-0844     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1491/1/swj956.pdf