doi: 10.7763/IJIET.2013.V3.240
A Novel Framework for Math Word Problem Solving
Kyle Morton
,
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.
Keywords
- Ontology
- fuzzy logic
- artificial intelligence
- education
- e-learning
- word computing
How to 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. https://doi.org/10.7763/IJIET.2013.V3.240
Copyright & License
Copyright © 2013 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).