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Sentence Based Mathematical Problem Solving Approach via Ontology Modeling

机译:基于本体建模的基于句子的数学问题解决方法

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Mathematics includes solving a variety of problems by applying theories and formulas. Thus mathematical problem solving requires performing arithmetical operations by using analytical and problem solving skills. Sentence based mathematical problems contains real world scenarios and requires to apply both mathematical and problem analyzing knowledge to solve problems. Human beings solve sentence based mathematical problems by applying different mathematical formulas and theorems to the comprehend questions. Understanding the sentence based questions requires an additional effort to grab the content and grasped content should be mapped with known concepts in terms of variables. Organizing the variables and formulas by understanding the relationships and properties would be important to formulate the answer. Thus the content can be easily modeled using an ontological approach and the problem solving can be accomplished by querying the ontology using a multi agent approach. Sentenced based mathematical problem solving approach demonstrates a system which can solve mathematical questions by acquiring the semantics of the question and applying learnt formulas. Information extraction from the question, ontology based knowledge representation, multi agent based ontology querying and answer generation with explanations can be defined as major functions. This approach can be used to introduce effective intelligent tutoring systems in any domain.
机译:数学包括通过应用理论和公式来解决各种问题。因此,数学问题解决需要使用分析和问题解决技能来执行算术运算。基于句子的数学问题包含现实世界中的场景,并且需要应用数学知识和问题分析知识来解决问题。人类通过对所理解的问题应用不同的数学公式和定理来解决基于句子的数学问题。理解基于句子的问题需要付出额外的努力来获取内容,并且所获取的内容应与已知概念按照变量进行映射。通过理解关系和属性来组织变量和公式对于制定答案很重要。因此,可以使用本体论方法轻松地对内容进行建模,并且可以通过使用多主体方法来查询本体论来解决问题。基于语句的数学问题解决方法演示了一种系统,该系统可以通过获取问题的语义并应用学习的公式来解决数学问题。从问题的信息提取,基于本体的知识表示,基于多主体的本体查询以及带有解释的答案生成可以定义为主要功能。这种方法可用于在任何领域引入有效的智能补习系统。

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