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ARQAS: Augmented Reality based Question Answering System using Ontology in HINDI and MARATHI Language

by Dhiraj Amin, Sharvari Govilkar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 126 - Number 13
Year of Publication: 2015
Authors: Dhiraj Amin, Sharvari Govilkar
10.5120/ijca2015906229

Dhiraj Amin, Sharvari Govilkar . ARQAS: Augmented Reality based Question Answering System using Ontology in HINDI and MARATHI Language. International Journal of Computer Applications. 126, 13 ( September 2015), 21-25. DOI=10.5120/ijca2015906229

@article{ 10.5120/ijca2015906229,
author = { Dhiraj Amin, Sharvari Govilkar },
title = { ARQAS: Augmented Reality based Question Answering System using Ontology in HINDI and MARATHI Language },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 126 },
number = { 13 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume126/number13/22612-2015906229/ },
doi = { 10.5120/ijca2015906229 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:17:22.237359+05:30
%A Dhiraj Amin
%A Sharvari Govilkar
%T ARQAS: Augmented Reality based Question Answering System using Ontology in HINDI and MARATHI Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 126
%N 13
%P 21-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Question answering (QA) system helps user to find the precise answer of the question articulated in natural language. The most important part of QA system is how the answers are presented to the users where not only how much relevant answer retrieved for the question is important but also how these answers are presented to the users is also important. Augmented reality (AR) can be used as platform or interface to enrich the way how the answers are presented of the questions, where user can feel to be a part of that information deduced from the answer. We have proposed a system where users can ask query in the form of natural language and get relevant information to their queries in the form of different virtual content augmented in their real environment. Semantic matching for user natural language query has been performed efficiently by using ontology. We have limited this work to Hindi and Marathi language.

References
  1. Dhiraj Amin and Sharvari Govilkar. "COMPARATIVE STUDY OF AUGMENTED REALITY SDK’S.", International Journal on Computational Sciences & Applications (IJCSA) Vol.5, No.1, February 2015.
  2. Speech Recognizer, Available at: http://developer.android.com/reference/android/speech/SpeechRecognizer.html (last accessed on June 13, 2015).
  3. Google Hindi Input, Available at: https://play.google.com/store/apps/details?id=com.google.android.apps.inputmethod.hindi&hl=en (last accessed on June 13, 2015).
  4. Image Tracking, Available at: http://dev.metaio.com/sdk/tracking-config/optical-tracking/image-tracking/index.html (last accessed on June 13, 2015).
  5. Getting Started with the Metaio SDK, Available at: https://dev.metaio.com/sdk/ (last accessed on June 13, 2015).
Index Terms

Computer Science
Information Sciences

Keywords

Augmented Reality QA Question answering system (QAS) Question answering (QA) Ontology Augmented Augmented Reality (AR) Natural language question answering system (NLQA) Augmented Reality based Question Answering system (ARQAS) Natural language processing (NLP).

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