Knowledge Extraction From Online Feedback System Using Ontology

被引：0
|
作者：
Shaikh, Sana [1 ]
Sonawane, Prashant [1 ]
Patil, Rajesh [1 ]
Neeraj, Rohit [1 ]
机构：
[1] Don Bosco Inst Technol, Comp Engn, Bombay, Maharashtra, India
来源：
2015 INTERNATIONAL CONFERENCE ON TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT (ICTSD-2015) | 2015年
关键词：
Feedback System; Knowledge (Information) Extraction; Ontology; Semantic web;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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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页数：5
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