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Using Ontology-based Information Extraction for Subject-based Auto-grading

Daramola, Olawande and Afolabi, I. T. and Akinyemi, Ibidapo and Oladipupo, O. O. (2013) Using Ontology-based Information Extraction for Subject-based Auto-grading. ResearchGate. pp. 373-378.

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Abstract

The procedure for the grading of students’ essays in subject-based examinations is quite challenging particularly when dealing with large number of students. Hence, several automatic essay-grading systems have been designed to alleviate the demands of manual subject grading. However, relatively few of the existing systems are able to give informative feedbacks that are based on elaborate domain knowledge to students, particularly in subject-based automatic grading where domain knowledge is a major factor. In this work, we discuss the vision of subject-based automatic essay scoring system that leverages on semiautomatic creation of subject ontology, uses ontology-based information extraction approach to enable automatic essay scoring, and gives informative feedback to students.

Item Type: Article
Uncontrolled Keywords: Ontology, Ontology-based Information Extraction, Automatic Essay Scoring, Subject-based Automatic Scoring.
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 05 May 2017 12:22
Last Modified: 15 Jun 2017 17:43
URI: http://eprints.covenantuniversity.edu.ng/id/eprint/8094

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