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

Olawande Daramola, Ibukun Afolabi, Ibidapo Akinyemi, Olufunke Oladipupo


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 semi-automatic creation of subject ontology, uses ontology-based information extraction approach to enable automatic essay scoring, and gives informative feedback to students.


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Paper Citation

in Harvard Style

Daramola O., Afolabi I., Akinyemi I. and Oladipupo O. (2013). Using Ontology-based Information Extraction for Subject-based Auto-grading . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 373-378. DOI: 10.5220/0004625903730378

in Bibtex Style

author={Olawande Daramola and Ibukun Afolabi and Ibidapo Akinyemi and Olufunke Oladipupo},
title={Using Ontology-based Information Extraction for Subject-based Auto-grading},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},

in EndNote Style

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Using Ontology-based Information Extraction for Subject-based Auto-grading
SN - 978-989-8565-81-5
AU - Daramola O.
AU - Afolabi I.
AU - Akinyemi I.
AU - Oladipupo O.
PY - 2013
SP - 373
EP - 378
DO - 10.5220/0004625903730378