基于本体的在线反馈系统知识抽取

Sana Shaikh, Prashant S. Sonawane, Rajesh Patil, Rohit Neeraj
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引用次数: 0

摘要

为了在任何教学项目中取得成功,师生之间充分的沟通是非常重要的。学生的反馈可以帮助教师提高表现和行为。语义网(SW)技术是一种很有前途的数据选择和检索方法。不同的web挖掘技术用于从web数据中提取有用的信息。在本文中,主要关注的是从学生的反馈中提取知识,这可以通过在本体中触发Sparql查询来完成。这种知识可以用有意义的形式来表示。
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Knowledge extraction from online feedback system using ontology
To achieve success in any teaching program it is very important to have adequate communication between teachers and students. Feedback given by student helps teachers to improve on performance and behavior. Semantic web (SW) technology is a promising approach for data selection and retrieval. Different web mining techniques are used for extracting useful information from web data. In this paper the main focus is to extract knowledge from the feedback given by the students and this can be done by firing Sparql Query in Ontology. This knowledge can be represented in meaningful form.
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