Knowledge extraction from online feedback system using ontology

Author

Shaikh, Sana ; Sonawane, Prashant ; Patil, Rajesh ; Neeraj, Rohit

Author_Institution

Comput. Eng., Don Bosco Inst. of Technol., Mumbai, India

fYear

2015

fDate

4-6 Feb. 2015

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

data mining; educational administrative data processing; ontologies (artificial intelligence); query processing; semantic Web; teaching; SPARQL query; SW technology; Web mining techniques; knowledge extraction; knowledge representation; online feedback system; ontology; semantic Web technology; teaching program; Data mining; Databases; Ontologies; Resource description framework; Semantics; Feedback System; Knowledge (Information) Extraction; Ontology; Semantic web;

fLanguage

English

Publisher

ieee

Conference_Titel

Technologies for Sustainable Development (ICTSD), 2015 International Conference on

Conference_Location

Mumbai

Type

conf

DOI

10.1109/ICTSD.2015.7095847

Filename

7095847