DOI: 10.7763/IJIET.2013.V3.240
A Novel Framework for Math Word Problem Solving
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.