• Aug 06, 2018 News! IJIET Vol. 7, No. 1-No. 8 have been indexed by EI (Inspec).   [Click]
  • Dec 18, 2018 News!Vol. 9, No. 1 issue has been published online!   [Click]
  • Oct 10, 2018 News!Vol. 8, No. 12 issue has been published online!   [Click]
General Information
    • ISSN: 2010-3689
    • Frequency: Bimonthly (2011-2014); Monthly (Since 2015)
    • DOI: 10.18178/IJIET
    • Editor-in-Chief: Prof. Dr. Steve Thatcher
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library, Google Scholar, Crossref and ProQuest
    • E-mail: ijiet@ejournal.net
Prof. Dr. Steve Thatcher
QUniversity, Australia
It is my honor to be the editor-in-chief of IJIET. The journal publishes good-quality papers which focous on the advanced researches in the field of information and education technology. Hopefully, IJIET will become a recognized journal among the scholars in the related fields.

IJIET 2013 Vol.3(1): 88-93 ISSN: 2010-3689
DOI: 10.7763/IJIET.2013.V3.240

A Novel Framework for Math Word Problem Solving

Kyle Morton and Yanzhen Qu

Abstract—Mathematical word problems represent many real world scenarios. Often times found difficult to solve. The reason for their difficulty is because of miscomprehension and the inability to formulate a mathematical representation of the text. In this paper we present a framework based on fuzzy logic – ontology model that interprets a mathematical word problem in natural language and compute a solution. This framework uses ontology as a working memory and search engine to compute the solution. Fuzzy logic is used to determine the confidence of result returned, which could eliminate the confusion for a user trying to determine if the solution provided is correct. The ability to interpret a mathematical word problem and return a detailed solution will help educated users by providing them detailed steps of a solution.

Index Terms—Ontology, fuzzy logic, artificial intelligence, education, e-learning, word computing.

The authors are with School of Computer Science Colorado Technical University Colorado Springs, USA (email: k.morton15@my.cs.coloradotech.edu, yqu@coloradotech.edu).


Cite: Kyle Morton and Yanzhen Qu, "A Novel Framework for Math Word Problem Solving," International Journal of Information and Education Technology vol. 3, no. 1, pp. 88-93, 2013.

Copyright © 2008-2018. International Journal of Information and Education Technology. All rights reserved.
E-mail: ijiet@ejournal.net